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The two markets are sealed, that is, the prices in one market are irrelevant to consumers in the other market. Still, the two markets are linked through inventories and the order quantity policy. In the paper, we develop a nonlinear model, in which seasonal demand depends on time and on both products' prices, while nonseasonal demand is time\u2010invariant and is the function of both products' prices. Then, we provide an algorithm to compute the optimal solution. An illustrative example is given along with a sensitivity analysis. Among other results, we obtain that dynamic pricing and accounting for substitution effect lead to more profit. 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The simulation study of dispatching rules to job shop systems is a classical example. Unfortunately, simulation runs provide various tables of data, which can be difficult to read and to interpret. We discuss the use of multiple correspondence analysis to address this problem. This multivariate statistical technique allows certain relations between variables to be pointed out. The graphical overview of the available information which is provided facilitates the results interpretation and the comparison of strategies. To illustrate this approach, multiple correspondence analysis is used to study the application of well known dispatching rules to a simplified now shop.<\/jats:p>","DOI":"10.1111\/1475-3995.d01-17","type":"journal-article","created":{"date-parts":[[2003,11,2]],"date-time":"2003-11-02T15:52:16Z","timestamp":1067788336000},"page":"147-157","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Using Multiple Correspondence Analysis in the Analysis of Simulation Experiments: a Study of Dynamic Scheduling Strategies"],"prefix":"10.1111","volume":"1","author":[{"given":"Henri","family":"Pierreval","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2003,10,30]]},"container-title":["International Transactions in Operational Research"],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2F1475-3995.d01-17","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1475-3995.d01-17","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1475-3995.d01-17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T02:05:32Z","timestamp":1694397932000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/1475-3995.d01-17"}},"issued":{"date-parts":[[1994,4]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1994,4]]}},"alternative-id":["10.1111\/1475-3995.d01-17"],"URL":"https:\/\/doi.org\/10.1111\/1475-3995.d01-17","archive":["Portico"],"ISSN":["0969-6016","1475-3995"],"issn-type":[{"value":"0969-6016","type":"print"},{"value":"1475-3995","type":"electronic"}],"published":{"date-parts":[[1994,4]]},"assertion":[{"value":"2003-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T16:42:56Z","timestamp":1696696976350},"reference-count":0,"publisher":"Wiley","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int Trans Operational Res"],"published-print":{"date-parts":[[2005,7]]},"DOI":"10.1111\/itor.2005.12.issue-4","type":"journal-issue","created":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T21:30:44Z","timestamp":1696627844000},"source":"Crossref","is-referenced-by-count":0,"prefix":"10.1111","volume":"12","member":"311","container-title":["International Transactions in Operational Research"],"language":"en","deposited":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T21:30:45Z","timestamp":1696627845000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/toc\/14753995\/12\/4"}},"issued":{"date-parts":[[2005,7]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2005,7]]}},"URL":"https:\/\/doi.org\/10.1111\/itor.2005.12.issue-4","ISSN":["0969-6016","1475-3995"],"issn-type":[{"value":"0969-6016","type":"print"},{"value":"1475-3995","type":"electronic"}],"published":{"date-parts":[[2005,7]]}},{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T12:55:00Z","timestamp":1767099300505,"version":"3.48.0"},"reference-count":61,"publisher":"Wiley","license":[{"start":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T00:00:00Z","timestamp":1767052800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int Trans Operational Res"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This study proposes a novel reactive greedy randomized adaptive search procedure (RGRASP) algorithm to tackle the vehicle routing problem with simultaneous pickup and delivery (VRPSPD), which is an NP\u2010hard optimization problem with a wide range of applications in reverse logistics management. Efficiently planning routes for simultaneous pickup and delivery activities while ensuring the feasibility of truckload capacity presents significant challenges. To address these complexities, we devise an RGRASP metaheuristic to provide solutions for scalable instances. The strength of our proposed RGRASP lies in its ability to generate new solutions from a dynamically updated solution space in each iteration, ultimately maximizing vehicle utilization and reducing overall routing costs. Computational experiments on 68 publicly available VRPSPD instances show that our algorithm outperforms state\u2010of\u2010the\u2010art methods, achieving better average solutions and finding 14 new best\u2010known solutions. We also identified and rectified infeasibilities in previously reported best\u2010known solutions, providing a reliable reference for future\u00a0research.<\/jats:p>","DOI":"10.1111\/itor.70147","type":"journal-article","created":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T12:51:06Z","timestamp":1767099066000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A reactive greedy randomized adaptive search procedure algorithm for solving the vehicle routing problem with simultaneous pickup and delivery"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8344-5145","authenticated-orcid":false,"given":"Ali","family":"Zamanian","sequence":"first","affiliation":[{"name":"Department of Engineering and Computer Science and Information Technology Shiraz University Shiraz Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4476-6054","authenticated-orcid":false,"given":"Panca","family":"Jodiawan","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management Yuan Ze University Chung\u2010Li 32003 Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7618-6807","authenticated-orcid":false,"given":"Koorush","family":"Ziarati","sequence":"additional","affiliation":[{"name":"Department of Engineering and Computer Science and Information Technology Shiraz University Shiraz Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,12,30]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2019.119437","article-title":"Innovative approaches to design and address green supply chain network with simultaneous pick\u2010up and split 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How to account for environmental effects in DEA: an application to bank branches. 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In order to express her\/his preference structure the decision maker is asked to select, for each criterion, a preference function from a predefined set. It is a function that maps differences between criterion values of pairs of alternatives into interval [0,1]. For each preference function, the decision maker has to fix parameters that define indifference and strict preference areas.<\/jats:p><jats:p>A weak point in Promethee methods is that imprecision in judgment of preference functions is handled by relatively simple and rigid mathematical artifacts. We propose fuzzy sets theory and associate approximate reasoning as an appropriate framework to imitate human reasoning in expressing a preference structure. For each criterion, the decision maker uses linguistic terms \u2018small difference\u2019, \u2018medium difference\u2019, and \u2018big difference\u2019, which enable him\/her to express his\/her preference structure in a linguistic and thus more natural way. These descriptors interpret the system of decision maker's values and are context dependent. We introduce fuzzy IF\u2010THEN rules that relate the difference of criterion values to the preference function. The proposed modification extends the applicability of Promethee methods significantly, because it enables ranking of alternatives in the case when criteria values are fuzzy variables. 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Final products are stored at international depots, from where they are ready to be shipped to the markets. Even if one company controls the entire chain, when production and sales organizations are decoupled, a relevant problem is to determine the internal prices of products at depots for achieving coordination. We propose an optimization model involving pricing and production decisions, and several constraints commonly used in divergent chains. In our approach, the producer incorporates the sellers\u2019 behavior by expressing demand as a function of the internal price. As a result, our model serves as a coordination mechanism in trying to get an overall coordinated integrated solution in a decoupled reality. Numerical examples in single and multiple periods problems show the advantages of our approach over cost\u2010based methods.<\/jats:p>","DOI":"10.1111\/itor.12024","type":"journal-article","created":{"date-parts":[[2013,6,24]],"date-time":"2013-06-24T09:44:36Z","timestamp":1372067076000},"page":"889-916","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Joint optimization of pricing and planning decisions in divergent supply chain"],"prefix":"10.1111","volume":"20","author":[{"given":"Mario","family":"Guajardo","sequence":"first","affiliation":[{"name":"NHH Norwegian School of Economics Department of Management Science and Business  N\u20105045 Bergen Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Kylinger","sequence":"additional","affiliation":[{"name":"Link\u00f6ping University Department of Management and Engineering  SE\u2010581 83 Link\u00f6ping Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikael","family":"R\u00f6nnqvist","sequence":"additional","affiliation":[{"name":"NHH Norwegian School of Economics Department of Management Science and Business  N\u20105045 Bergen Norway"},{"name":"Universit\u00e9 Laval Department of Mechanical Engineering  Qu\u00e9bec G1V 0A6 Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2013,6,24]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1030.0207"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12067-1_8"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/msom.5.3.203.16031"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02206825"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0927-0507(03)11006-7"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1287\/msom.1080.0251"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10288-005-0071-0"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.3138\/infor.46.4.265"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-011-0970-8"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.49.10.1287.17315"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1110.1003"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(98)90299-5"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-005-3446-x"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-2025-2_5"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-011-0954-8"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.45.1.24"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2013.03.007"},{"key":"e_1_2_9_19_1","unstructured":"Kong J.2012.Integration and coordination of supply chain: Case studies in the forestry and petroleum industries. 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Previous research has considered the Coxian phase\u2010type distribution to be ideal in representing patient survival in hospital. However, problems exist in fitting the distributions. This paper investigates the problems that arise with the fitting process by simulating various Coxian phase\u2010type models for the representation of patient survival and examining the estimated parameter values and eigenvalues obtained. The results indicate that numerical methods previously used for fitting the model parameters do not always converge. An alternative technique is therefore considered. All methods are influenced by the choice of initial parameter values. 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To address the uncertain cost information, we propose a decision rule based on confidence levels to measure the goals of the supply chain participants. We provide the new concept of the belief\u2010degree cost of a supply chain that embodies the decision maker's ability to comprehensively address information uncertainty and control the risk caused by information uncertainty. We find that regardless of which of the three games it is in \u2013 integrated, hybrid, or decentralized \u2013 a chain should order more and thereby gain more profit when its cost uncertainty increases or the competing chain's cost uncertainty decreases. The chain with a low or sufficiently low belief\u2010degree cost gains a competitive advantage on both quantity and profit. A chain's competitiveness can be enhanced by either decreasing its confidence level or increasing its rival's confidence level. Furthermore, we demonstrate that supply chain integration is the dominant strategy for given confidence levels. 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With a particular focus on maintenance facilities, this study proposes a multistage stochastic programming (MSP) model for operations planning under independent random demand of faulty components in the modular\u2010structured devices (e.g., gas turbines) received for repair and overhaul services. A Lagrangian relaxation\u2010based decomposition heuristic is also developed to efficiently solve the problem for real\u2010size instances. This heuristic relies on decomposing the MSP model into submodels corresponding to component STs and coordinating them via a subgradient algorithm to obtain a high\u2010quality feasible solution. 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Thus we show that embryos, pronuclei and oocytes consist at least of two types: those suitable for procreation and those not suitable and both types can be recognised easily by an automatic procedure at whatever stage is desired. From their digitilised images before transfer, specific characteristics are formulated automatically and through a particular pattern recognition algorithm the specimen is recognised as belonging to one of two groups with a high precision. The algorithm works in two stages: in the first, the images and their outcomes are used to train the algorithm and in a second stage, on the basis of the rule learnt in training, embryos, pronuclei or oocytes are classified. 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We find that the supply chain coordination and Pareto improvement can be achieved synchronously. As a comparison, a subsidy contract is introduced to coordinate the supply chain. The paper further considers the influence of a replenishment tactic on the performance of the supply chain. After introducing a replenishment tactic, the supply chain can replenish the products to satisfy unmet demand during the selling season. We further use an option contract to coordinate the supply chain, and a Pareto improvement can be gained. 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with bicriteria of either makespan and mean flowtime or makespan and maximum tardiness (lateness). This paper extends the problem to all the three criteria (tricriteria) where the objective is to minimize a weighted sum of makespan, mean flowtime, and maximum lateness. A dominance relation and a lower bound are established. The dominance relation and the lower bound are used to develop a branch\u2010and\u2010bound algorithm. The dominance relation is also used to develop several heuristics. An extensive computational analysis is conducted to evaluate the performance of the dominance relation and the heuristics. The analysis shows that the dominance relation is effective. The analysis also shows that the heuristics are quite efficient, and some heuristics have an error of less than 1%. Moreover, these heuristics have the desirable property that the error does not increase by the number of jobs.<\/jats:p>","DOI":"10.1111\/1475-3995.00273","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T02:54:43Z","timestamp":1047437683000},"page":"403-425","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["The Tricriteria Two\u2010Machine Flowshop Scheduling Problem"],"prefix":"10.1111","volume":"8","author":[{"given":"Ali","family":"Allahverdi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2002,12,16]]},"container-title":["International Transactions in Operational Research"],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2F1475-3995.00273","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1475-3995.00273","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T17:21:23Z","timestamp":1700414483000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/1475-3995.00273"}},"issued":{"date-parts":[[2001,7]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2001,7]]}},"alternative-id":["10.1111\/1475-3995.00273"],"URL":"https:\/\/doi.org\/10.1111\/1475-3995.00273","archive":["Portico"],"ISSN":["0969-6016","1475-3995"],"issn-type":[{"value":"0969-6016","type":"print"},{"value":"1475-3995","type":"electronic"}],"published":{"date-parts":[[2001,7]]},"assertion":[{"value":"2002-12-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T13:37:15Z","timestamp":1775741835173,"version":"3.50.1"},"reference-count":21,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T00:00:00Z","timestamp":1701216000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int Trans Operational Res"],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Transportation is a key forest logistics component and is a large proportion of the overall cost. Often, the transportation cost is determined by contractual agreements and based on the loaded distance from a supply to a demand point. Many alternative routes provide different distances (e.g., shortest route, fastest route, minimum fuel consumption), but these distances are approximate in the contractual agreement; hence, there is a mismatch between approximated costs and actual pay. It is necessary to match supply with demand when planning to use optimization models, as these models must cover many supply and demand points. From this point, many distances need to be established. These can be generated dynamically before optimization or generated a priori as static distance tables. The former can take a long time, whereas the latter needs to use aggregated zones that remain static over time because supply points, such as harvest areas, change continually. To enable fast optimization, distances between zones and demand points can be precomputed; however, they represent only estimated distances between the actual supply point and the demand points. We propose a hybrid method to improve quality and estimate accurate distances in a quick process, using a large case study from a company in Sweden with a standardized system that directly uses computed reference distances as contractually agreed. Results show that many distance estimation approaches give poor cost estimates (1\u201320%) and increase transportation costs (0.2\u20130.6%).<\/jats:p>","DOI":"10.1111\/itor.13409","type":"journal-article","created":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T15:15:05Z","timestamp":1701270905000},"page":"1397-1425","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A new hybrid method for quick and accurate calculation of forest transportation distances"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1940-6129","authenticated-orcid":false,"given":"Mikael","family":"R\u00f6nnqvist","sequence":"first","affiliation":[{"name":"Universit\u00e9 Laval  Quebec City Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrik","family":"Flisberg","sequence":"additional","affiliation":[{"name":"Forestry Research Institute of Sweden  Uppsala 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Trans Operational Res"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Contractors in the construction sector face several trade\u2010offs between time and cost. The time\u2013cost trade\u2010off (TCT) is one of these trade\u2010offs where contractors can reduce a project completion time by assigning more resources to activities, which means spending more money, to shorten the execution times of project activities. On the other hand, contractors who finance their projects through credit lines from banks such that if they reach their credit limits, then the start times of some project activities can be delayed until cash is available again, which might lead to an increase in the project execution time; thus, contractors need to consider the time\u2013credit trade\u2010off. In this work, we simultaneously consider these two trade\u2010offs that affect the project completion time and use mixed integer linear programming (MILP) to model the contractor time\u2013cost\u2013credit trade\u2010off (TCCT) problem. The MILP model minimizes the project execution time given the contractor's budgetary and financial constraints. In addition to the MILP model, we also develop a heuristic solution algorithm to solve the problem. Through a set of benchmark instances, we study the effectiveness of the heuristic algorithm and the computation time of the exact model. It is found that a good upper bound for the MILP results in less computation time. We also study some practical aspects of the problem where we highlight the importance of expediting contractor payments in addition to selecting a financially stable contractor. Finally, we use our MILP model to help a contractor bid for a\u00a0project.<\/jats:p>","DOI":"10.1111\/itor.12764","type":"journal-article","created":{"date-parts":[[2020,1,2]],"date-time":"2020-01-02T14:01:55Z","timestamp":1577973715000},"page":"2841-2877","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["The contractor time\u2013cost\u2013credit trade\u2010off problem: integer programming model, heuristic solution, and business insights"],"prefix":"10.1111","volume":"27","author":[{"given":"Sameh","family":"Al\u2010Shihabi","sequence":"first","affiliation":[{"name":"S P Jain School of Global Management Sydney Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad M.","family":"AlDurgam","sequence":"additional","affiliation":[{"name":"Systems Engineering Department King Fahd University of Petroleum &amp; Minerals Dhahran Kingdom of Saudi 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Given sets of ports, vessel classes, and demands between the ports, the problem is to design a network of cyclic routes and assign a vessel class to each route so that all demands can flow through the network at minimal cost. In this paper, we analyze a new formulation of the LSNDP based on a two\u2010layer network structure. The formulation takes into account the cost of transshipment and allows for complex service structures. Valid inequalities and a novel approach of inner representations of low\u2010dimensional polyhedra are proposed. A new set of small instances with up to 12 ports has been developed and the formulation has been tested on these instances. Instances with up to 10 ports are solved to optimality, but the largest instances are not, confirming that the LSNDP is a very complex problem. The proposed improvements of the formulation are also shown to have a positive effect.<\/jats:p>","DOI":"10.1111\/itor.12659","type":"journal-article","created":{"date-parts":[[2019,3,20]],"date-time":"2019-03-20T14:04:34Z","timestamp":1553090674000},"page":"638-659","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A new formulation for the liner shipping network design problem"],"prefix":"10.1111","volume":"28","author":[{"given":"Marie","family":"Ameln","sequence":"first","affiliation":[{"name":"Department of Industrial Economics and Technology Management Norwegian University of Science and Technology Gl\u00f8shaugen, Alfred Getz vei 3 7491 Trondheim Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie","family":"Sand Fuglum","sequence":"additional","affiliation":[{"name":"Department of Industrial Economics and Technology Management Norwegian University of Science and Technology Gl\u00f8shaugen, Alfred Getz vei 3 7491 Trondheim Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristian","family":"Thun","sequence":"additional","affiliation":[{"name":"Department of Industrial Economics and Technology Management Norwegian University of Science and Technology Gl\u00f8shaugen, Alfred Getz vei 3 7491 Trondheim Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0312-8072","authenticated-orcid":false,"given":"Henrik","family":"Andersson","sequence":"additional","affiliation":[{"name":"Department of Industrial Economics and Technology Management Norwegian University of Science and Technology Gl\u00f8shaugen, Alfred Getz vei 3 7491 Trondheim Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Magnus","family":"St\u00e5lhane","sequence":"additional","affiliation":[{"name":"Department of Industrial Economics and Technology Management Norwegian University of Science and Technology Gl\u00f8shaugen, Alfred Getz vei 3 7491 Trondheim Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,3,20]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1070.0205"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1057\/mel.2009.5"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2013.0471"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2014.09.012"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10288-017-0342-6"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2012.12.002"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1030.0036"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-6377(91)90083-2"},{"key":"e_1_2_6_10_1","unstructured":"Drewry 2014.Seaborne trade annual report 2013. 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The objective relaxation technique is used to generate initial solution values, allowing a subset of binary variables to be fixed, thereby reducing the problem size and enabling the relax\u2010and\u2010fix algorithm to solve manageable subproblems. Additionally, the hybrid heuristic incorporates a constructive search method, leveraging both relaxation and incumbent solutions to progressively improve solution quality by generating high\u2010quality subproblems. The performance of this hybrid heuristic is evaluated against a benchmark algorithm and a general mixed\u2010integer linear programming (MILP) solver using benchmark test instances. The computational results show that our models can enforce tighter constraints and contain fewer integer and continuous decision variables and constraints, and the hybrid heuristic can lower the system costs compared to the benchmark algorithm. Further, we extend the models and heuristic for an IPLD problem with setup carryover, and their efficacies are evaluated by comparing them to the general MILP\u00a0solver.<\/jats:p>","DOI":"10.1111\/itor.70203","type":"journal-article","created":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T07:16:38Z","timestamp":1778570198000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrated Production, Location, and Distribution Problems: Models and Hybrid Heuristic"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7954-485X","authenticated-orcid":false,"given":"Tao","family":"Wu","sequence":"first","affiliation":[{"name":"School of Economics &amp; Management Tongji University Shanghai 200092 China"},{"name":"Laboratory of High Quality Urban Development and Strategic Decision Tongji University Shanghai 200092 China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,5,12]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.2013.0550"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2015.1401"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-022-06866-7"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2010.10.026"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2010.03.010"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.107003"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2024.109325"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2016.11.022"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2010.05.007"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2023.106502"},{"key":"e_1_2_6_12_1","volume-title":"Supply Chain Management: Strategy, Planning, and Operation","author":"Chopra S.","year":"2018"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40314-021-01560-0"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.01.028"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2016.1154623"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1590\/0101-7438.2021.041s1.00246080"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1287\/inte.1120.0642"},{"key":"e_1_2_6_18_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1050.0392"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2022.2093681"},{"key":"e_1_2_6_20_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.47.6.851.9813"},{"key":"e_1_2_6_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(02)00153-4"},{"key":"e_1_2_6_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2016.1213446"},{"key":"e_1_2_6_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2023.103370"},{"key":"e_1_2_6_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2015.08.024"},{"key":"e_1_2_6_25_1","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2023.2272261"},{"key":"e_1_2_6_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.09.036"},{"key":"e_1_2_6_27_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.2158-1592.2001.tb00001.x"},{"key":"e_1_2_6_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2013.06.001"},{"key":"e_1_2_6_29_1","doi-asserted-by":"publisher","DOI":"10.1002\/nav.20345"},{"key":"e_1_2_6_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.111264"},{"key":"e_1_2_6_31_1","unstructured":"Rocca L. 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We use the Stackelberg game to model the problem and characterize optimal pricing strategies for each supply chain partner, examining different circumstances in terms of retail price and trade credit contracts. When a consistent price strategy is applied in the dual channels under conditions of an exogenous credit period, trade credit can help both partners to achieve win\u2010win situations in the following circumstances: (1) when the retail channel's market share is small and the retailer's interest rate is high; or (2) when the retail channel's market share is large and the retailer's interest rate is lower than the manufacturer's. The study also concludes that when an inconsistent price strategy is applied, a trade credit contract can alleviate channel conflicts when the retailer's interest rate is higher than the manufacturer's. Otherwise, the partners may terminate cooperation. 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The designed contract not only coordinates the supply chain as the buyback contract does but also improves the supply chain profit by considering the inventory risk due to weather fluctuations. In a buyback contract, the supplier shares a fraction of its revenue with the retailer to compensate for the inventory risk, affecting the supplier's profitability. However, in the proposed contract, the supplier benefits from financial risk hedging in the case of unfavorable weather conditions. This limits the supplier's downside risk, and the supplier mainly uses the gain from the risk hedging to compensate the retailer. Real temperature and demand data are used to analyze the contracts and draw managerial insights. The numerical results show that the designed contract benefits both parties, improves supply chain profit on average by , and minimizes inventory risk as compared to the traditional buyback contracts under weather\u00a0risk.<\/jats:p>","DOI":"10.1111\/itor.70213","type":"journal-article","created":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T15:56:24Z","timestamp":1780156584000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An approach to minimize inventory risk due to weather using buyback contract with weather rebate"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6661-517X","authenticated-orcid":false,"given":"Piyal","family":"Sarkar","sequence":"first","affiliation":[{"name":"School of Business Administration The Pennsylvania State University Harrisburg PA 17057 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. I. 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This variant of scheduling is called proportionate scheduling and its applications are used in many real\u2010world environments. This paper develops three polynomial time algorithms for the problem. First, we present a polynomial time algorithm that solves the problem optimally if <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12087-math-0001.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12087:itor12087-math-0001\"\/>, where <jats:italic>n<\/jats:italic> and <jats:italic>m<\/jats:italic> denote the numbers of jobs and machines, respectively. 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The supplier directly sells products to overseas market through an online channel and a retail channel. Since the supplier expands the overseas market and bears the potential risk of exchange rate volatility, the supplier is risk\u2010averse. In the presence of exchange rate volatility, the risk\u2010averse supplier decides whether to purchase an option to hedge against the risk of exchange rate volatility. Conditional value at risk is applied as a measure of the supplier's risk\u2010averse behavior. To identify the conditions under which the risk\u2010averse supplier should purchase an option, we analyze two scenarios: the benchmark model and the option model. By comparing the benchmark model with the option model, we show that if the option premium is lower than a threshold, the risk\u2010averse supplier prefers to purchase an option, which also makes the retailer better off. 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Different funding systems are available, such as the Beveridge Model. Furthermore, payments can be either prospective, retrospective, or even a merging of both. Payments are usually nonoptimal in the Pareto sense and disregard the quality of delivered services as well as the environment (either internal or external) in which hospitals operate. This gap may introduce inefficiencies and inequities in the health care system, which currently faces scenarios of reduction\/scarcity of resources. Furthermore, there are problems related to overpaying and misallocation of resources. Hence, payments should be optimized to guarantee an efficient allocation of resources to the health care systems. This study proposes a new best practice based tool, applying it to the Portuguese National Health Service. 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Nevertheless, the application of analytics is subject to available resources and capabilities, and, therefore, differs from region to region. Developing countries in particular are exposed to circumstances that can limit the expansion of analytics within their domains. This may prohibit the acceleration of development efforts and, consequently, may result in delays in achieving the United Nations Sustainable Development Goals (UNSDGs) set for 2030. Taking this concern as a starting point, this paper provides the results of a survey on the status of analytics research in developing countries. Through a thorough review and classification of 142 articles published during 2009\u20132019, we characterize analytics in developing countries along three dimensions. First, we explore the mainstream methodologies appearing in the literature, which range from classic optimization techniques to more recent statistical and machine learning methods. Second, we identify 11 application areas that cover a broad range. Third, we focus on the linkages between the reviewed papers and the 17 UNSDGs. Along this dimension, we establish a connection between the literature and 13 goals, and illustrate how some of these contributions relate to some of the 169 targets set by United Nations. Goals such as gender equality are addressed to either little or no extent by the surveyed literature. Also, the survey reveals no adoption of indicators that are set to track the progress toward the targets.<\/jats:p>","DOI":"10.1111\/itor.13018","type":"journal-article","created":{"date-parts":[[2021,6,15]],"date-time":"2021-06-15T10:12:50Z","timestamp":1623751970000},"page":"2041-2081","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1004-7481","authenticated-orcid":false,"given":"Cosku Can","family":"Orhan","sequence":"first","affiliation":[{"name":"Department of Business and Management Science NHH Norwegian School of Economics  Bergen 5045 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As the sum of distances between customers and their facilities and the total fixed cost for opening facilities are important aspects, the model is proposed to deal with those conflicting objectives. We develop a mathematical model using integer linear programming (ILP) to determine the optimal location of open facilities with their optimal capacity. Two approaches are designed to deal with the bi\u2010objective CPMP, namely CP with an exact method and with a variable neighbourhood search (VNS) based matheuristic. New sets of generated instances are used to evaluate the performance of the proposed approaches. 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Trans Operational Res"],"published-print":{"date-parts":[[1996,10]]},"abstract":"<jats:p>The optimization of an economic indicator has traditionally been the sole objective function of mathematical programming models for power generation expansion planning. Recently, however, other evaluation aspects, such as environmental concerns, were also given an explicit role as objective functions in mathematical models. Models become thus more realistic so that decision makers are able to grasp the inherent conflicts and trade\u2010offs among the distinct objectives in selecting a best compromise plan. A significant change in the planning processes has also occurred concerning new planning methodologies integrating demand\u2010side management (DSM) techniques, in an attempt to change the levels and forms of electricity use by the consumers. This paper presents a multiple objective linear programming model for power generation expansion planning incorporating DSM. The objective functions are the total expansion cost, the environmental impact associated with the installed power capacity and the environmental impact associated with the energy output. DSM is included by modelling it as a new generating group along with the generating alternatives from the supply side. Five categories of constraints are considered related to the reliability of the supply system, the availability of the generating units, the capacity of the DSM\u2010equivalent generating group, the total capacity installed throughout the planning period, the pollutant emissions. 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Despite the potential of several Latin American countries to produce FFC, their lack of standardized postharvest processes hinders compliance with high\u2010quality standards demanded by the FFC market, as these processes have a direct impact on cocoa's organoleptic characteristics. This work supports the design of a collective postharvest transformation model that coordinates the main steps in the cocoa agri\u2010food chain: transport of the cocoa harvest, classification, fermentation, drying, storage, and commercialization. Our methodology includes a modeling scheme combining optimization and simulation models, considering variability in the processes, and covering operational (transport and resource allocation), tactical (design and sizing of the processing plant), and strategic (sales dynamics) decisions across the cocoa value chain. We illustrate this methodology in a case study in Arauca, Colombia. 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Ph.D University of Gent Belgium."},{"key":"e_1_2_8_3_1","unstructured":"Attia H. 1977.Les hautes steppes tunisiennes \u2026 de la soci\u00e9t\u00e9 pastorale \u2026\u00e0 la soci\u00e9t\u00e9 paysanne. Ph.D University of Paris VII France."},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.30.9.1078"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/0169-5150(92)90049-5"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8276.2006.00863.x"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1068280500000320"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(78)90138-8"},{"key":"e_1_2_8_9_1","unstructured":"Chraga G. Chemak F. 2003. 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In this paper, we investigate the relationship between the length of a minimum Steiner tree (MStT) on <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor13055-math-0001.png\" xlink:title=\"urn:x-wiley:09696016:media:itor13055:itor13055-math-0001\"\/> and a minimum spanning tree on <jats:italic>R<\/jats:italic>. We show that if the degree of <jats:italic>q<\/jats:italic> in the MStT is 1, then the difference between these two lengths is at least <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor13055-math-0002.png\" xlink:title=\"urn:x-wiley:09696016:media:itor13055:itor13055-math-0002\"\/>, and that this lower bound is tight. This bound can be applied as part of an efficient algorithm to find the solution to the prize\u2010collecting Euclidean Steiner tree problem, as outlined in an earlier\u00a0paper.<\/jats:p>","DOI":"10.1111\/itor.13055","type":"journal-article","created":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T15:34:45Z","timestamp":1631547285000},"page":"2201-2225","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Minimum Steiner trees on a set of concyclic points and their center"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9279-5896","authenticated-orcid":false,"given":"David","family":"Whittle","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering The University of Melbourne Parkville VIC 3010 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8985-3752","authenticated-orcid":false,"given":"Marcus","family":"Brazil","sequence":"additional","affiliation":[{"name":"Department of Electrical &amp; Electronic Engineering The University of Melbourne Parkville VIC 3010 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5963-5743","authenticated-orcid":false,"given":"Peter Alexander","family":"Grossman","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering The University of Melbourne Parkville VIC 3010 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5712-0113","authenticated-orcid":false,"given":"Joachim Hyam","family":"Rubinstein","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics The University of Melbourne Parkville VIC 3010 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8141-3362","authenticated-orcid":false,"given":"Doreen A.","family":"Thomas","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering The University of Melbourne Parkville VIC 3010 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,9,13]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009846620554"},{"key":"e_1_2_10_3_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-13915-9","volume-title":"Optimal Interconnection Trees in the Plane, Theory, Algorithms and Applications","author":"Brazil M.","year":"2015"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02187871"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/0132072"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1137\/0116001"},{"key":"e_1_2_10_7_1","unstructured":"Kirszenblat D. 2014.The Steiner ratio conjecture for eight points. 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China","doi-asserted-by":"publisher","award":["11871081"],"award-info":[{"award-number":["11871081"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int Trans Operational Res"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>As a classic NP\u2010hard problem in machine learning and computational geometry, the <jats:italic>k<\/jats:italic>\u2010means problem aims to partition the given points into <jats:italic>k<\/jats:italic> sets to minimize the within\u2010cluster sum of squares. The <jats:italic>k<\/jats:italic>\u2010means problem with penalties (<jats:italic>k<\/jats:italic>\u2010MPWP), as a generalizing problem of the <jats:italic>k<\/jats:italic>\u2010means problem, allows a point that can be either clustered or penalized with some positive cost. In this paper, we mainly apply the parallel seeding algorithm to the <jats:italic>k<\/jats:italic>\u2010MPWP, and show sufficient analysis to bound the expected solution quality in the case where both the number of iterations and the number of points sampled in each iteration can be given arbitrarily. The approximate guarantee can be obtained as <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12808-math-0001.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12808:itor12808-math-0001\" \/>, where <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12808-math-0002.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12808:itor12808-math-0002\" \/> is a polynomial function involving the maximal ratio <jats:italic>M<\/jats:italic> between the penalties. On one hand, this result can be viewed as a further improvement on the parallel algorithm for <jats:italic>k<\/jats:italic>\u2010MPWP given by\u00a0Li et\u00a0al., where the number of iterations depends on other factors. On the other hand, our result also generalizes the one solving the <jats:italic>k<\/jats:italic>\u2010means problem presented by Bachem et\u00a0al., because <jats:italic>k<\/jats:italic>\u2010MPWP is a variant of the <jats:italic>k<\/jats:italic>\u2010means problem. Moreover, we present a numerical experiment to show the effectiveness of the parallel algorithm for <jats:italic>k<\/jats:italic>\u2010means with\u00a0penalties.<\/jats:p>","DOI":"10.1111\/itor.12808","type":"journal-article","created":{"date-parts":[[2020,5,9]],"date-time":"2020-05-09T03:42:24Z","timestamp":1588995744000},"page":"158-171","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The provably good parallel seeding algorithms for the <i>k<\/i>\u2010means problem with penalties"],"prefix":"10.1111","volume":"29","author":[{"given":"Min","family":"Li","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics Shandong Normal University Jinan 250014 P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dachuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Operations Research and Scientific Computing Beijing University of Technology Beijing 100124 P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongmei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology Shandong Jianzhu University Jinan 250101 P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiling","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Operations Research and Scientific Computing Beijing University of Technology Beijing 100124 P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,5,8]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","unstructured":"Aggarwal A. Deshpande A. Kannan R. 2009.Adaptive sampling fork\u2010means clustering. InDinur I. Jansen K. Naor J. Rolim J.(eds)Proceedings of APPROX and RANDOM Springer Berlin pp.15\u201328.","DOI":"10.1007\/978-3-642-03685-9_2"},{"key":"e_1_2_8_3_1","doi-asserted-by":"crossref","unstructured":"Ahmadian S. Norouzi\u2010Fard A. Svensson O. Ward J. 2017. Better guarantees fork\u2010means and Euclideank\u2010median by primal\u2010dual algorithms. 58th Annual IEEE Symposium on Foundations of Computer Science Berkeley CA pp.61\u201372.","DOI":"10.1109\/FOCS.2017.15"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5103-0"},{"key":"e_1_2_8_5_1","unstructured":"Arthur D. Vassilvitskii S. 2007.k\u2010means++: the advantages of careful seeding. Proceedings of the 18th Annual ACM\u2010SIAM Symposium on Discrete Algorithms New Orleans LA pp.1027\u20131035."},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12449"},{"key":"e_1_2_8_7_1","unstructured":"Awasthi P. 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The nilcatenation problem consists of finding a set of arcs that can be removed from an arc\u2010weighted directed graph without changing the balance of any vertex. The balance of a vertex is defined as the difference between the sum of the weights of outgoing and incoming arcs. We propose a 0\/1 integer linear programming formulation and a local branching algorithm. The approaches are computationally evaluated and compared using three sets of test instances, two of them generated from Bitcoin's testnet and mainnet networks. An experiment on the testnet showed that it is possible to retrieve a nilcatenation artificially introduced with fake bitcoin transactions. Experiments on the mainnet showed that it is possible to find large nilcatenations, possibly indicating money laundering\u00a0activities.<\/jats:p>","DOI":"10.1111\/itor.13353","type":"journal-article","created":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T03:59:16Z","timestamp":1689825556000},"page":"3955-3974","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The nilcatenation problem and its application for detecting money laundering activities in cryptocurrency networks"],"prefix":"10.1111","volume":"31","author":[{"given":"Clynton","family":"Tomacheski","sequence":"first","affiliation":[{"name":"Federal University of Minas Gerais Belo Horizonte Minas Gerais Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anolan","family":"Milan\u00e9s","sequence":"additional","affiliation":[{"name":"Molde University College P.O. Box 2110 Molde Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7561-6825","authenticated-orcid":false,"given":"Sebasti\u00e1n","family":"Urrutia","sequence":"additional","affiliation":[{"name":"Molde University College P.O. Box 2110 Molde Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,7,19]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"AML 2020.The Anti\u2010Money Laundering Act of 2020. Available athttps:\/\/www.fincen.gov\/anti\u2010money\u2010laundering\u2010act\u20102020 accessed 30 March 2023."},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-45472-5_31"},{"key":"e_1_2_9_4_1","unstructured":"Buterin V. 2014.A next\u2010generation smart contract and decentralized application platform.White paper. 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In this paper, the placement problem is solved using a combination of quadratic programming, circuit partitioning, clustering and greedy cell interchange heuristics. The solution of a sequence of quadratic programs and circuit partitioning problems provides the general positions of cells in high quality palcement. Computational efficiency is achieved by using an interior point method for solving the sequence of quadratic programs. A very efficient clustering heuristic is used to keep important groups of cells together as the cells are spread throughout the placement area. Numerical results on a set of benchmark circuits illustrate that this new approach produces standard cell placements that are up <jats:italic>17% better<\/jats:italic> in wire length. <jats:italic>14% better<\/jats:italic> in row length and up to <jats:italic>25 times faster<\/jats:italic> than a well known Simulated Annealing placement heuristic.<\/jats:p>","DOI":"10.1111\/j.1475-3995.1997.tb00091.x","type":"journal-article","created":{"date-parts":[[2006,8,29]],"date-time":"2006-08-29T20:45:20Z","timestamp":1156884320000},"page":"353-364","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["VLSI Placement Using Quadratic Programming and Network Partitioning Techniques"],"prefix":"10.1111","volume":"4","author":[{"given":"A.","family":"Kennings","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Vannelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2006,8,24]]},"reference":[{"key":"e_1_2_1_2_1","unstructured":"Areibi S.(1995)Towards Optimal Circuit Layout using Advanced Search Techniques.PhD Thesis University of Waterloo Waterloo Ont ."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1137\/0708060"},{"key":"e_1_2_1_4_1","volume-title":"Computational methods for an LP model of the placement problem","author":"Chin P.","year":"1994"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/nme.1620371305"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/43.317462"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.1985.1270101"},{"key":"e_1_2_1_8_1","unstructured":"Garbers J. 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This dispersion can be characterized by an oriented network, whose nodes represent the companies, and an arc between companies <jats:italic>i<\/jats:italic> and <jats:italic>j<\/jats:italic>, with weight <jats:italic>s<jats:sub>ij<\/jats:sub><\/jats:italic>, indicates that company <jats:italic>i<\/jats:italic> owns <jats:italic>s<jats:sub>ij<\/jats:sub><\/jats:italic> percent of company <jats:italic>j<\/jats:italic>, being denoted by stock shareholding network (SSN). Given two sets of companies <jats:italic>T<\/jats:italic> and <jats:italic>C<\/jats:italic><jats:sub>0<\/jats:sub> from a SSN, we say that the companies in <jats:italic>C<\/jats:italic><jats:sub>0<\/jats:sub> control those in <jats:italic>T<\/jats:italic> if they own or imply ownership of at least <jats:italic>\u03b1<jats:sub>j<\/jats:sub><\/jats:italic> percent of companies\u2019 <jats:italic>T<\/jats:italic> shares. 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Indeed, minimizing the cycle time leads to choosing the fastest robots, while minimizing the energy consumption leads to choosing the robots with the smallest powers. In the context of RALBP, cycle time minimization has been extensively studied while energy minimization has been much less considered. Studies dealing with simultaneous minimization of the two later are even scarcer. A bi\u2010objective RALBP considering simultaneous minimization of cycle time and energy consumption is studied in this paper. The energy consumption is calculated based on recent papers from the literature. It includes energy consumed during both operation time and idle time. In this paper, a pseudo\u2010polynomial case is solved thanks to an exact algorithm called split. This latter enumerates all Pareto\u2010optimal solutions corresponding to a given giant sequence of operations. Split is then used as a decoder in a metaheuristic operating in a reduced search space where giant sequences encode solutions. An experimental study is performed on instances taken from the literature to test the suggested encoding\u2013decoding scheme. It shows that the suggested approach yields competitive results compared to the\u00a0literature.<\/jats:p>","DOI":"10.1111\/itor.13610","type":"journal-article","created":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T11:21:38Z","timestamp":1737458498000},"page":"2731-2758","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Bi\u2010objective minimization of energy consumption and cycle time for the robotic assembly line balancing problem: pseudo\u2010polynomial case and reduced search space metaheuristic"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4454-4822","authenticated-orcid":false,"given":"Youssef","family":"Lahrichi","sequence":"first","affiliation":[{"name":"ISCAE Km 9,5 Route de Nouasseur BP. 8114 Casablanca Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samia Chehbi","family":"Gamoura","sequence":"additional","affiliation":[{"name":"EM Strasbourg Business School Universit\u00e9 de Strasbourg 61 Avenue de la For\u00eat\u2010Noire Strasbourg 67000 France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Damand","sequence":"additional","affiliation":[{"name":"EM Strasbourg Business School Universit\u00e9 de Strasbourg 61 Avenue de la For\u00eat\u2010Noire Strasbourg 67000 France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Barth","sequence":"additional","affiliation":[{"name":"EM Strasbourg Business School Universit\u00e9 de Strasbourg 61 Avenue de la For\u00eat\u2010Noire Strasbourg 67000 France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,1,21]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2012.10.020"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2022.108673"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/0305-0483(83)90033-6"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2013.12.002"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.03.011"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2012.12.009"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2007.02.026"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-444-64235-6.50244-8"},{"key":"e_1_2_10_10_1","first-page":"27:1","volume-title":"33rd Symposium on Theoretical Aspects of Computer Science (STACS 2016)","author":"Chechik S.","year":"2016"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-020-01641-7"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2016.07.896"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/095372898234208"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2016.07.675"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2019.11.630"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dam.2012.04.011"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2008.09.027"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2005.12.001"},{"key":"e_1_2_10_20_1","unstructured":"Hershberg C. 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Sharp lower and upper bounds on the maximum expected profit are derived that lead to the corresponding optimal order quantities found under the worst\u2010case and best\u2010case scenarios. In addition, some special cases are solved by reducing the scope of knowledge about the demand distribution. Consequently, we generalize all results presented so far in the literature for the two scenarios, and present several new results. A numerical example illustrates the impact of available information on the quality of approximations. 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A specific index is used for quantifying the exposure of a vehicle to the risk of being robbed along its route. In addition, the problem is subject to a traditional capacity constraint, which limits the maximum amount of valuables that can be transported inside the vehicle. This constraint might be imposed, for example, by insurance companies. A biobjective formulation, aimed at reducing both risk and travel costs, is proposed. The objectives are conflicting since higher risk exposures would allow a reduction of the travel costs incurred by a transportation firm to visit all its customers for the collection of cash. A mathematical model of the problem is described and solved using a progressive multiobjective metaheuristic. Multiobjective optimization and multicriteria decision making are integrated into a single metaheuristic algorithm. To simplify the decision process, the decision maker's preferences are embedded into the multiobjective algorithm. Realistic instances are generated considering the geographical coordinates of several customers (e.g., stores, banks, shopping centers) located in Belgium. The proposed solution approach is tuned and tested both on these realistic instances and standard benchmark instances for the capacitated VRP.<\/jats:p>","DOI":"10.1111\/itor.12214","type":"journal-article","created":{"date-parts":[[2015,11,13]],"date-time":"2015-11-13T22:56:41Z","timestamp":1447455401000},"page":"59-76","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["A biobjective decision model to increase security and reduce travel costs in the cash\u2010in\u2010transit sector"],"prefix":"10.1111","volume":"24","author":[{"given":"Luca","family":"Talarico","sequence":"first","affiliation":[{"name":"University of Antwerp Operations Research Group ANT\/OR Prinsstraat 13 2000 Antwerp Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenneth","family":"S\u00f6rensen","sequence":"additional","affiliation":[{"name":"University of Antwerp Operations Research Group ANT\/OR Prinsstraat 13 2000 Antwerp Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johan","family":"Springael","sequence":"additional","affiliation":[{"name":"University of Antwerp Operations Research Group ANT\/OR Prinsstraat 13 2000 Antwerp Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2015,11,13]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-23081-5_5"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1030.0056"},{"key":"e_1_2_7_4_1","unstructured":"British Security Industry Association (BSIA) 2014.Cash and valuables in transit. 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In addition, there is a wide variety of intermediate parts in the production process, which is prone to the problem of kitting and long waiting times. The traditional single\u2010stage scheduling made it difficult to achieve overall production optimization. Furthermore, due to the large size of the workpiece, transportation equipment also consumes a significant amount of energy and generates carbon emissions during transportation. In heterogeneous hybrid flowshop, there is significant potential for optimizing the collaborative scheduling between processing machines and transportation equipment as well as between different transportation devices. This study presents a green scheduling model that considers the optimization of both the maximum makespan and the carbon emissions generated by the processing machines and transport equipment. The model also takes into account the idle state of the processing machines to further reduce carbon emissions. A green scheduling strategy is proposed to solve this model, along with an enhanced NSGA\u2010III (Non\u2010Dominated Sorting Genetic Algorithm III) that integrates the Moth\u2010Flame Optimization algorithm. Additionally, 15 arithmetic examples are provided to illustrate the manufacturing process of large metallic components of different scales. The effectiveness of the proposed algorithm is demonstrated through comparisons with commonly used intelligent optimization algorithms and non\u2010collaborative scheduling. The findings highlight the efficacy of collaborative scheduling in the heterogeneous multi\u2010stage hybrid flowshop for large metallic components, resulting in reduced manufacturing time and carbon emissions.<\/jats:p>","DOI":"10.1111\/itor.13593","type":"journal-article","created":{"date-parts":[[2024,12,19]],"date-time":"2024-12-19T00:36:18Z","timestamp":1734568578000},"page":"1733-1765","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Sustainable\u2010collaborative scheduling of multi\u2010stage hybrid flowshop with heterogeneous production and transportation using a green scheduling strategy\u2010based NSGA\u2010II\u2010MFO algorithm"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1548-4637","authenticated-orcid":false,"given":"Jianguo","family":"Duan","sequence":"first","affiliation":[{"name":"China Institute of FTZ Supply Chain Shanghai Maritime University Shanghai 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However, the assumption that a single technology can have multiple operating types has been criticized by researchers in the past. To overcome this shortcoming, the main propose of this study is to establish a combination of the models of Tone and Chen and Zhu in order to assess the efficiencies of two hotel types. We first provide evidence that there is an existing defect arising from the direct combination of the two models. The nonhomogeneous two\u2010stage model is established to evaluate the operational and expense utilization efficiencies for the Taiwanese international tourist hotels. The results verify that the defect from the direct combination of these models can be corrected by the new model. Empirical evaluation reveals that independent hotels have higher expense utilization efficiency and chain hotels have higher operational efficiency. The evaluation also indicates that tourist hotels can achieve best practices through a mutual learning strategy.<\/jats:p>","DOI":"10.1111\/itor.12180","type":"journal-article","created":{"date-parts":[[2015,5,28]],"date-time":"2015-05-28T10:45:49Z","timestamp":1432809949000},"page":"1067-1087","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Using the nonhomogeneous frontier two\u2010stage DEA model to assess the efficiencies of expense utilization and operation of the Taiwanese hotel industry"],"prefix":"10.1111","volume":"23","author":[{"given":"Chin\u2010wei","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Tourism and Hospitality Management Kainan University  Taoyuan Taiwan ROC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yung\u2010ho","family":"Chiu","sequence":"additional","affiliation":[{"name":"Department of Economics Soochow University  Taipei Taiwan ROC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chien\u2010heng","family":"Tu","sequence":"additional","affiliation":[{"name":"Department of Finance National Kaohsiung University of Applied Sciences  Kaohsiung Taiwan ROC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng\u2010ying","family":"Luo","sequence":"additional","affiliation":[{"name":"Dongwu Business School Soochow University in China  Suzhou Jiangsu P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zebin","family":"Wang","sequence":"additional","affiliation":[{"name":"Dongwu Business School Soochow University in China  Suzhou Jiangsu P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2015,5,27]]},"reference":[{"issue":"1","key":"e_1_2_6_2_1","first-page":"40","article-title":"Hotel industry efficiency: an advanced linear programming examination","volume":"18","author":"Anderson R.I.","year":"2000","journal-title":"American Business Review"},{"key":"e_1_2_6_3_1","volume-title":"Organizational Learning: A Theory of Action Perspective","author":"Argyris 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In many divisible load applications, the load can be parallelized in a master\u2013worker fashion, where the master distributes the load among a set <jats:italic>P<\/jats:italic> of worker processors to be processed in parallel. The master can only send load to one worker at a time, and the transmission can be done in a single round or in multiple rounds. The multi\u2010round divisible load scheduling problem consists in (a) selecting the subset <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12429-math-0001.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12429:itor12429-math-0001\"\/> of workers that will process the load, (b) defining the order in which load will be transmitted to each of them, (c) defining the number <jats:italic>m<\/jats:italic> of transmission rounds that will be used, and (d) deciding the amount of load that will be transmitted to each worker <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12429-math-0002.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12429:itor12429-math-0002\"\/> at each round <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12429-math-0003.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12429:itor12429-math-0003\"\/>, so as to minimize the makespan. We propose a heuristic approach that determines the transmission order, the set of the active processors and the number of rounds by a biased random\u2010key genetic algorithm. The amount of load transmitted to each worker is computed in polynomial time by closed\u2010form formulas. Computational results showed that the proposed genetic algorithm outperformed a closed\u2010form state\u2010of\u2010the\u2010art heuristic, obtaining makespans that are 11.68% smaller on average for a set of benchmark problems.<\/jats:p>","DOI":"10.1111\/itor.12429","type":"journal-article","created":{"date-parts":[[2017,5,30]],"date-time":"2017-05-30T10:08:34Z","timestamp":1496138914000},"page":"1061-1077","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["A biased random\u2010key genetic algorithm for scheduling heterogeneous multi\u2010round systems"],"prefix":"10.1111","volume":"24","author":[{"given":"Julliany S.","family":"Brand\u00e3o","sequence":"first","affiliation":[{"name":"Institute of Computing Universidade Federal Fluminense  Niter\u00f3i RJ 24210\u2010346 Brazil"},{"name":"Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca  Rio de Janeiro RJ 20271\u2010110 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thiago F.","family":"Noronha","sequence":"additional","affiliation":[{"name":"Department of Computer Science Universidade Federal de Minas Gerais  Belo Horizonte MG 24105 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mauricio G. C.","family":"Resende","sequence":"additional","affiliation":[{"name":"Amazon.com Mathematical Optimization and Planning  Seattle WA 98109 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Celso C.","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Institute of Computing Universidade Federal Fluminense  Niter\u00f3i RJ 24210\u2010346 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,5,26]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"crossref","unstructured":"Abib E.R. Ribeiro C.C. 2009.New heuristics and integer programming formulations for scheduling divisible load tasks. Proceedings of the IEEE Symposium on Computational Intelligence in Scheduling. Nashville pp.54\u201361.","DOI":"10.1109\/SCIS.2009.4927015"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1015061802659"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-006-0031-4"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.6.2.154"},{"key":"e_1_2_7_6_1","first-page":"1","volume-title":"International Symposium on Parallel and Distributed Processing","author":"Beaumont O.","year":"2008"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2005.35"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2003.1233712"},{"key":"e_1_2_7_9_1","unstructured":"Beaumont O. Legrand A. Robert Y. 2003b.Optimal algorithms for scheduling divisible workloads on heterogeneous systems. 12th Heterogeneous Computing Workshop. 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The major variables are \u2014 the number of censors, the volume of publications to be classified (with special emphasis on computer technology publications) and the procedures, in particular, the number of censors with decision\u2010making powers. A model of the system was developed using Extend; a simulation software package designed to aid decision support. This model was used to investigate the utilization of \u201cdecision\u2010makers\u201d, and to identify and locate the bottlenecks, in the system under a number of different scenarios suggested by the client. 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We examine a supply chain consisting of an incumbent and a capital\u2010constrained startup firm. The startup's entry may cannibalize the incumbent's market share. Therefore, we model their interaction as a Stackelberg game, with the incumbent leading. The startup faces funding challenges and can opt for bank financing, interfirm credit, or mixed financing. Under interfirm credit, the incumbent and startup firms engage in financial collaboration, which requires the incumbent to decide on the trade\u2010off between profit sharing and market erosion. We consider two cases of financial sufficiency: (i) sufficient funds for production that satisfy the loan amount required for the startup firm's production and (ii) limited funds for production that are insufficient for the startup firm's needs and limit the startup firm's production. We find that bank financing is not always beneficial to firms. Specifically, under limited funds for production, when a startup has moderate initial available funds, he will opt for profit sharing with the incumbent and prefer interfirm credit, allowing both firms to achieve a win\u2010win outcome. However, suppose the incumbent strategically determines the interest rate. In that case, mixed financing becomes advantageous for both firms when the startup firm's initial available funds are high and the loan amount is ample. 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Proceedings of the International Workshop on Performance Evaluation and Optimization of Production Lines Samos Greece pp.135\u2013157."},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(96)00191-9"},{"key":"e_1_2_1_26_1","unstructured":"Tan B. 1997c.Variance of the output as a function of time: production line dynamics. Ko\u00e7 University Working Paper Series 97\u201319 (to appear inEuropean Journal of Operational Research 1998)."},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0895-7177(98)00031-4"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-5273(97)00132-1"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.2307\/41165745"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1080\/07408178708975379"},{"issue":"12","key":"e_1_2_1_31_1","first-page":"18","article-title":"Agile manufacturing: a necessary condition for competing in global markets","volume":"24","author":"Youssef M. 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Given an ELG , the goal of the minimum labeling global cut problem (MLGCP) is to find a subset  such that the removal of all edges with labels in  disconnects  and  is minimum. This work proposes three new mathematical formulations for the MLGCP, namely\n                    <jats:italic>PART<\/jats:italic>\n                    ,\n                    <jats:italic>VC<\/jats:italic>\n                    , and\n                    <jats:italic>TE<\/jats:italic>\n                    as well as branch\u2010and\u2010cut algorithms to solve them. Additionally, a theoretical study was carried out on the MLGCP input graph, leading to the concept of chromatic closure, used in preprocessing algorithms for this model\n                    <jats:italic>PART<\/jats:italic>\n                    . Finally, a comprehensive polyhedral investigation of the model is performed. The computational experiments showed that the  model, adopting the chromatic closure concept and its branch\u2010and\u2010cut algorithm, can solve small to average\u2010sized instances in reasonable\u00a0times.\n                  <\/jats:p>","DOI":"10.1111\/itor.13571","type":"journal-article","created":{"date-parts":[[2024,11,17]],"date-time":"2024-11-17T01:50:48Z","timestamp":1731808248000},"page":"1678-1704","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Solving the minimum labeling global cut problem by mathematical programming"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1169-8568","authenticated-orcid":false,"given":"Victor J. de Sousa","family":"Koehler","sequence":"first","affiliation":[{"name":"Centro de Inform\u00e1tica Universidade Federal da Para\u00edba (UFPB)  Campus de Mangabeira Jo\u00e3o Pessoa 58058\u2010600 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thiago","family":"Gouveia","sequence":"additional","affiliation":[{"name":"IFPB Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia da Para\u00edba  Av. Jo\u00e3o da Mata Jo\u00e3o Pessoa Para\u00edba 58.015\u2010020 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gilberto Farias de","family":"Sousa Filho","sequence":"additional","affiliation":[{"name":"Centro de Inform\u00e1tica Universidade Federal da Para\u00edba (UFPB)  Campus de Mangabeira Jo\u00e3o Pessoa 58058\u2010600 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luiz Satoru","family":"Ochi","sequence":"additional","affiliation":[{"name":"Instituto de Computa\u00e7\u00e3o Universidade Federal Fluminense (UFF)  Niteroi Rio de Janeiro 24210\u2010310 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philippe","family":"Michelon","sequence":"additional","affiliation":[{"name":"LIA EA 4128 Universit\u00e9 d'Avignon et des Pays de Vaucluse (UAPV)  Avignon 84911 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Serigne","family":"Gueye","sequence":"additional","affiliation":[{"name":"LIA EA 4128 Universit\u00e9 d'Avignon et des Pays de Vaucluse (UAPV)  Avignon 84911 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucidio A. F.","family":"Cabral","sequence":"additional","affiliation":[{"name":"Centro de Inform\u00e1tica Universidade Federal da Para\u00edba (UFPB)  Campus de Mangabeira Jo\u00e3o Pessoa 58058\u2010600 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2024,11,16]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2023.12.014"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-349-03521-2"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12494"},{"key":"e_1_2_9_5_1","first-page":"299","article-title":"Paths and cycles in colored graphs","volume":"31","author":"Broersma H.","year":"2005","journal-title":"Australasian Journal of Combinatorics"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-23529-9_7"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0129626407002958"},{"issue":"3","key":"e_1_2_9_8_1","first-page":"1","article-title":"Combinatorial optimization in networks with shared risk link groups","volume":"18","author":"Coudert D.","year":"2016","journal-title":"Discrete Mathematics & Theoretical Computer Science"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcss.2010.02.012"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-023-01766-5"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7997-1_64"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01580870"},{"key":"e_1_2_9_13_1","doi-asserted-by":"crossref","unstructured":"Jaffke L. Lima P.T. Masar\u00edk T. Pilipczuk M. Souza U.S. 2023.A tight quasi\u2010polynomial bound for global label min\u2010cut. InProceedings of the 2023 Annual ACM\u2010SIAM Symposium on Discrete Algorithms (SODA).ACM Press New York Vol.1 pp.290\u2013303.","DOI":"10.1137\/1.9781611977554.ch12"},{"key":"e_1_2_9_14_1","unstructured":"Jha S. Sheyner O. Wing J. 2002.Two formal analyses of attack graphs. InProceedings 15th IEEE Computer Security Foundations Workshop. CSFW\u201015.IEEE Piscataway NJ pp.49\u201363."},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0190(98)00034-9"},{"key":"e_1_2_9_16_1","first-page":"1","article-title":"A novel binary firefly algorithm for the minimum labeling spanning tree problem","volume":"125","author":"Lin M.","year":"2020","journal-title":"CMES\u2010Computer Modeling in Engineering & Sciences"},{"key":"e_1_2_9_17_1","doi-asserted-by":"crossref","unstructured":"Long H. Long Y. Li X.x. Long Z.m. Wu F.y. 2023.Community\u2010based zigzag piloting algorithm for the strong generalized minimum label spanning tree problem.","DOI":"10.21203\/rs.3.rs-1715140\/v1"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2022.09.013"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00224-022-10101-z"},{"key":"e_1_2_9_20_1","doi-asserted-by":"crossref","unstructured":"Pinheiro T.F. Ravelo S.V. Buriol L.S. 2022.A fix\u2010and\u2010optimize matheuristic for the k\u2010labelled spanning forest problem. In2022 IEEE Congress on Evolutionary Computation (CEC) IEEE Piscataway NJ pp.1\u20138.","DOI":"10.1109\/CEC55065.2022.9870342"},{"key":"e_1_2_9_21_1","doi-asserted-by":"crossref","unstructured":"Salem M.B. Taktak R. 2022.The labeled two edge connected subgraph problem. In2022 8th International Conference on Control Decision and Information Technologies (CoDIT) Vol.1 IEEE Piscataway NJ pp.1020\u20131025.","DOI":"10.1109\/CoDIT55151.2022.9803882"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1051\/ro\/2022146"},{"key":"e_1_2_9_23_1","doi-asserted-by":"crossref","unstructured":"Sheyner O. Haines J. Jha S. Lippmann R. Wing J.M. 2002.Automated generation and analysis of attack graphs. InProceedings 2002 IEEE Symposium on Security and Privacy IEEE Piscataway NJ pp.273\u2013284.","DOI":"10.1109\/SECPRI.2002.1004377"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30101-1_17"},{"key":"e_1_2_9_25_1","unstructured":"Silva T.G. 2018.The minimum labeling spanning tree and related problems. Ph.D. thesis Universit\u00e9 d'Avignon; Universidade Federal do Estado do Rio de Janeiro (Br\u00e9sil)."},{"key":"e_1_2_9_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13675-018-0099-5"},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.09.044"},{"key":"e_1_2_9_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.endm.2018.03.004"},{"key":"e_1_2_9_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.endm.2017.10.016"},{"key":"e_1_2_9_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29344-3_55"},{"key":"e_1_2_9_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipl.2011.03.017"},{"key":"e_1_2_9_32_1","unstructured":"Xu R. Farag\u00f3 A. 2019.The landscape of minimum label cut (hedge connectivity) problem. arXiv preprint arXiv:1908.065411908.06541."},{"key":"e_1_2_9_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06089-7_18"},{"key":"e_1_2_9_34_1","unstructured":"Zhang P. 2020.Approximating the weighted minimum labels$s$\u2010t$t$cut problem. arXiv preprint arXiv: 2011.06204."},{"key":"e_1_2_9_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10878-009-9222-0"},{"key":"e_1_2_9_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2016.08.006"},{"key":"e_1_2_9_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00453-016-0265-1"},{"key":"e_1_2_9_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ic.2020.104543"}],"container-title":["International Transactions in Operational Research"],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/itor.13571","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T05:27:34Z","timestamp":1764653254000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/itor.13571"}},"issued":{"date-parts":[[2024,11,16]]},"references-count":37,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["10.1111\/itor.13571"],"URL":"https:\/\/doi.org\/10.1111\/itor.13571","archive":["Portico"],"ISSN":["0969-6016","1475-3995"],"issn-type":[{"type":"print","value":"0969-6016"},{"type":"electronic","value":"1475-3995"}],"published":{"date-parts":[[2024,11,16]]},"assertion":[{"value":"2024-01-09","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-14","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-16","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:37:43Z","timestamp":1761597463604},"reference-count":22,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2013,10,18]],"date-time":"2013-10-18T00:00:00Z","timestamp":1382054400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int Trans Operational Res"],"published-print":{"date-parts":[[2015,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The double traveling salesman problem with multiple stacks consists in determining a pair of routes (pickup and delivery) for a unique vehicle in two different and disjoint networks. It models a realistic transportation problem with loading\/unloading constraints imposed by having a set of last\u2010in\u2010first\u2010out (LIFO) stacks used for storing the goods being transported. The arrangement of the items in the container determines the loading plan that in terms constrains both routes. In this paper, we propose a novel local search approach. The local search heuristic is applied to the loading plan instead of working directly on the routes. A dynamic programming algorithm is used to map the loading plan solution into corresponding optimal routes. Computational results show that the proposed approach is competitive with state\u2010of\u2010the\u2010art heuristics for the problem.<\/jats:p>","DOI":"10.1111\/itor.12053","type":"journal-article","created":{"date-parts":[[2013,10,18]],"date-time":"2013-10-18T08:11:07Z","timestamp":1382083867000},"page":"61-75","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A dynamic programming based local search approach for the double traveling salesman problem with multiple stacks"],"prefix":"10.1111","volume":"22","author":[{"given":"Sebasti\u00e1n","family":"Urrutia","sequence":"first","affiliation":[{"name":"Department of Computer Science University of Minas Gerais Belo Horizonte Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anolan","family":"Milan\u00e9s","sequence":"additional","affiliation":[{"name":"Department of Informatics, Molde University College Molde 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of optimal profit realizing due to capital constraints in the perishable supply chain, this paper discusses two financing models, crowdfunding financing and bank credit financing from the small\u2013medium enterprise (SME) bank, for the dynamic ordering and pricing system of perishable goods in zero\u2010inventory under capital constraints. Heuristics algorithms are designed to solve the model. In dynamic crowdfunding financing, retailers bear different demand for capital in different periods and the capital gap for the retailer will narrow over time. In the SME financing model, the requirement for capital depends on retail size. We characterize the conditions of the financing preference between crowdfunding and SME financing channel. 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In the experiments, the priority parameter is set to prioritise smaller bins, but the model is generic to cover other cases. We study the trade\u2010off of adding more constraints to make the problem more realistic and the complexity of finding a solution. We introduce new metrics that facilitate the comparison of datasets used in experiments. These metrics allow the export of theoretical results in the industry. We also propose a constructive heuristic named weight first best fit to handle large\u2010scale instances in a reasonable\u00a0time.<\/jats:p>","DOI":"10.1111\/itor.12740","type":"journal-article","created":{"date-parts":[[2019,10,30]],"date-time":"2019-10-30T06:34:30Z","timestamp":1572417270000},"page":"3244-3275","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["A mixed\u2010integer linear model for the multiple heterogeneous knapsack problem with realistic container loading constraints and bins' priority"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1955-4380","authenticated-orcid":false,"given":"Igor","family":"Deplano","sequence":"first","affiliation":[{"name":"Department of Maritime and Mechanical Engineering Liverpool Logistics Offshore and Marine Research Institute Liverpool John Moores University Liverpool L3 3AF United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charly","family":"Lersteau","sequence":"additional","affiliation":[{"name":"Department of Maritime and Mechanical Engineering Liverpool Logistics Offshore and Marine Research Institute Liverpool John Moores University Liverpool L3 3AF United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trung Thanh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Maritime and Mechanical Engineering Liverpool Logistics Offshore and Marine Research Institute Liverpool John Moores University Liverpool L3 3AF United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,10,29]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2012.12.006"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10732-011-9162-6"},{"key":"e_1_2_9_4_1","unstructured":"Christensen H.I. Khan A. Pokutta S. Tetali P. 2016. Multidimensional bin packing and other related problems: a survey. Available athttps:\/\/pdfs.semanticscholar.org\/bbcf\/4ca2524cd50fdb03b180aa5f98d2daa759ce.pdf"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2016.12.001"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7997-1_35"},{"key":"e_1_2_9_7_1","unstructured":"Coffman E.G.Jr. Csirik J. Johnson D.S. Woeginger G.J. 2004. An introduction to bin packing. Available athttps:\/\/www.inf.u-szeged.hu\/~csirik\/ed5ut.pdf."},{"key":"e_1_2_9_8_1","unstructured":"Crainic T.G. Perboli G. andTadei R. 2012. Recent advances in multi\u2010dimensional packing problems. In Volosencu C. (ed.)New Technologies \u2013 Trends Innovations and Research. InTech London. 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For that purpose, DEA analyses provide information on both target setting and peer identification. However, the identification of peers is actually a by\u2010product of DEA. DEA models seek a projection point of the unit under evaluation on the efficient frontier of the production possibility set, which is used to set targets, while peers are identified simply as the members of the so\u2010called reference sets, which consist of the efficient units that determine the projection point as a combination of them. In practice, the selection of peers is crucial for benchmarking, because organizations need to identify a peer group in their sector or industry that represents actual performances from which to learn. In this paper, we argue that DEA benchmarking models should incorporate into their objectives criteria for the selection of suitable benchmarks among peers, in addition to considering the setting of appropriate targets (as usual). Specifically, we develop models having two objectives: setting the closest targets and selecting the most similar reference sets. Thus, we seek to establish targets that require the least effort from organizations for their achievement in addition to identifying peer groups with the most similar performances, which are potential benchmarks to emulate and improve.<\/jats:p>","DOI":"10.1111\/itor.12779","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T00:17:19Z","timestamp":1580429839000},"page":"554-573","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Benchmarking within a DEA framework: setting the closest targets and identifying peer groups with the most similar performances"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5755-2269","authenticated-orcid":false,"given":"Jos\u00e9 L.","family":"Ruiz","sequence":"first","affiliation":[{"name":"Centro de Investigaci\u00f3n Operativa Universidad Miguel Hern\u00e1ndez, Avd. de la Universidad  Alicante 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The on\u2010demand system uses minibuses that have neither fixed itineraries nor fixed stops. The minibuses are dynamically routed to accommodate the requests received by the users. To use the on\u2010demand service, users communicate, close to their desired departure time, the origin and destination of the trip. They accept the service if the estimated arrival time at destination fulfills their service level threshold. In the simulation users may decide whether to walk, to use a standard bus, to call the on\u2010demand service, and, if none of these options is satisfactory, to use a private car. We consider different scenarios to assess the potential benefits of the introduction of an on\u2010demand service. We also analyze the scalability and responsiveness of the service. The results suggest that an on\u2010demand system may be able to satisfy a large portion of user transportation requests and may be put beside standard transportation systems in order to provide a better transportation service to the users and substantially reduce the use of private cars.<\/jats:p>","DOI":"10.1111\/itor.12476","type":"journal-article","created":{"date-parts":[[2017,11,2]],"date-time":"2017-11-02T07:32:49Z","timestamp":1509607969000},"page":"1137-1161","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["A simulation study of an on\u2010demand transportation system"],"prefix":"10.1111","volume":"25","author":[{"given":"Claudia","family":"Archetti","sequence":"first","affiliation":[{"name":"Department of Economics and Management University of Brescia Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. 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Ronald N. Winter S. 2016.Comparing demand responsive and conventional public transport in a low demand context. 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Trans Operational Res"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The development of information and communication technologies accompanied by the exponential growth of electronic scholarly publications and computer archives has led, on the one hand, to the development of techniques for the systematic analysis of published literature and, on the other hand, to a significant growth in the number of literature reviews conducted and published. A systematic literature review seeks to comprehensively identify and synthesize all studies conducted on a given topic. However, how does one ensure that the entire state of the art on a given topic has been covered? How does one collect and select a large number of publications on a given topic, and how does one analyze the knowledge extracted from these publications? In other words, how do we use systematic literature analysis to produce new knowledge from existing knowledge? To make the best use of the various tools available today for conducting systematic reviews, it is necessary to be aware of their limitations. In the paper, we provide illustrations, examples, and detailed information on the various alternatives for conducting systematic reviews, presenting a review of available sources and tools. We report an analysis of the articles published in the journal <jats:italic>International Transactions in Operational Research<\/jats:italic> to show the potential and limitations of systematic review versus domain expert\u2010based selection. 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Its main objectives are to design incentive mechanisms that the manufacturer can use in order to reduce double marginalization, and to investigate whether these mechanisms can be implemented by the manufacturer and accepted by the retailer. I consider a differential game where a manufacturer controls its wholesale price and its national advertising effort. The carry\u2010over effects of national advertising build up brand goodwill, which represents the model's state variable. The retailer controls the product's retail price and the local advertising effort, which affect consumer demand, in conjunction with the brand goodwill. I compute strategies and outcomes under three scenarios: (a) a fully coordinated scenario where channel members act as if the channel was vertically integrated; (b) a noncoordinated scenario, considered as the <jats:italic>status quo<\/jats:italic>, where the channel is decentralized; and (c) a scenario where incentive mechanisms are offered by the manufacturer. The main results indicate that two incentive mechanisms, namely, a retail\u2010price incentive and an advertising allowance offered by the manufacturer to the retailer can mitigate the double\u2010marginalization problem. With these incentives, and an appropriate choice of the channel\u2010coordinating wholesale price, the manufacturer can induce the retailer to fix its control variables at their channel\u2010coordinating levels without committing to implement the channel\u2010coordinating level of national advertising. Our results highlight the role of the channel\u2010coordinating wholesale price level on the Pareto\u2010optimality and the implementation of the incentives. I compute the values for the channel\u2010coordinating wholesale price that can be used as benchmarks by channel members in order to evaluate if the incentives should be implemented or not. I illustrate our results with numerical simulations indicating the channel\u2010coordinating wholesale price values where we observe an increase in both channel members' individual profits when the incentives are implemented (i.e., with respect to the <jats:italic>status quo<\/jats:italic>). These results can be explained by the decrease in retail price and the increase in local and national advertising. Both effects explain the increase in brand goodwill and demand when the incentives are implemented.<\/jats:p>","DOI":"10.1111\/itor.12467","type":"journal-article","created":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T14:19:49Z","timestamp":1508249989000},"page":"2281-2304","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Incentive mechanisms for price and advertising coordination in dynamic marketing channels"],"prefix":"10.1111","volume":"26","author":[{"given":"Sihem","family":"Taboubi","sequence":"first","affiliation":[{"name":"Marketing Department HEC Montr\u00e9al 3000, chemin de la C\u00f4te\u2010Sante\u2010Catherine Montr\u00e9al H3T 2A7 Canada"},{"name":"Group for Research in Decision Analysis (GERAD) HEC Montr\u00e9al 3000, chemin de la C\u00f4te\u2010Sante\u2010Catherine Montr\u00e9al H3T 2A7 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However, privacy protection prevents websites from providing personalised guidelines to users. We propose a novel doctor\u2010ranking system (DRS) based on multi\u2010criteria group decision\u2010making (MCGDM) method to address the problems of privacy protection. The following aspects differentiate our proposed DRS model from previous works: (a) textual information reviews are used to identify user preferences and complementary criteria, (b) criteria weights are determined by term frequency inverse document frequency (TF\u2010IDF) instead of Delphi method or expert opinion, (c) intuitionistic fuzzy sets (IFSs) are used to replace sentiment analysis to express subjective user criteria, and (d) VIsekriterijumsko KOmpromisno Rangiranjie (VIKOR) method for MCGDM with IFSs is used to solve the doctor\u2010ranking problem. We apply our proposed model to datasets from Haodf.com to compare the performance of our method with that of sentiment analysis and technique for order performance by similarity to ideal solution (TOPSIS) methods. The experimental results show that our method provides accurate ranking and increases the reliability of DRS.<\/jats:p>","DOI":"10.1111\/itor.12569","type":"journal-article","created":{"date-parts":[[2018,6,27]],"date-time":"2018-06-27T05:10:02Z","timestamp":1530076202000},"page":"1236-1261","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":93,"title":["New doctors ranking system based on VIKOR method"],"prefix":"10.1111","volume":"27","author":[{"given":"Junhua","family":"Hu","sequence":"first","affiliation":[{"name":"School of Business Central South University  Lu Shan Nan Lu 932, Yue Lu District Hunan Province 410083 Changsha P.R. 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However, due to information asymmetry among stakeholders, producers often tend to pursue opportunistic gains by \u201cfree\u2010riding,\u201d such as producing low\u2010quality agricultural products, which severely damages the reputation of GIAP. By improving information provision, digital technologies offer a means to eliminate this information asymmetry, facilitate stakeholders' sharing of GIAP production and quality information, and ultimately make GIAP governance possible. Based on this, the paper first discusses the digital information sharing mechanisms of GIAP under different collaboration models. Next, we develop a differential game model based on information sharing. Finally, we compare the differences in information sharing efforts and benefits among various stakeholders. 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The three\u2010parameter Weibull distribution is an excellent generalization of exponential decay, with the flexibility of modeling various types of deteriorations. Since inventory management of perishable goods involves expensive storage facilities, the retailer with small storage may have to rent a warehouse. In this paper, we discuss a two\u2010warehouse inventory model where deteriorations in the two warehouses follow independent three\u2010parameter Weibull distributions. Transfer of units is from the rented warehouse to the own warehouse, and incurs a positive cost per unit. Demand is a non\u2010decreasing linear function of time, shortages are backlogged and replenishment is instantaneous. A solution procedure for obtaining optimal values of initial inventory level and cycle time is presented. Sensitivity analysis is carried out. 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impact of retailer's risk aversion on the equilibrium strategies and channel coordination in the presence of consumers\u2019 low\u2010carbon preference. The stochastic market demand is dependent on the carbon reduction level, advertisement for low\u2010carbon products and their interplay. The mean\u2010CVaR criterion is adopted to measure the risk\u2010averse retailer's objective. The Stackelberg equilibrium carbon reduction level, order quantity and advertising level are derived. We find that the manufacturer's investment in carbon reduction can encourage the retailer to put more effort into advertising and increase the order quantity. All of the carbon reduction levels, advertising levels, and order quantity decrease when the retailer becomes conservative. An option and cost\u2010sharing combined contract is proposed to coordinate the supply chain. We prove that if the trade\u2010off coefficient (the weight that the retailer puts on expected profit) is higher than a threshold, the supply chain can achieve coordination even though the retailer's degree of risk aversion is extremely high. If the trade\u2010off coefficient is below the threshold, the supply chain can be coordinated only if the retailer's degree of risk aversion is not very high. The retailer's risk attitude and option price play significant roles in the profit allocation of the supply chain under coordination. Our numerical examples show that the retailer benefits from a higher degree of risk aversion or a higher option price under coordination.<\/jats:p>","DOI":"10.1111\/itor.13140","type":"journal-article","created":{"date-parts":[[2022,4,11]],"date-time":"2022-04-11T03:50:35Z","timestamp":1649649035000},"page":"3681-3711","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Stackelberg equilibrium strategies and coordination of a low\u2010carbon supply chain with a risk\u2010averse retailer"],"prefix":"10.1111","volume":"29","author":[{"given":"Xiaoyong","family":"Yuan","sequence":"first","affiliation":[{"name":"School of International Economics and Trade Nanjing University of Finance and Economics  Nanjing 210023 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gongbing","family":"Bi","sequence":"additional","affiliation":[{"name":"School of Management University of Science and Technology of China  Hefei 230026 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongping","family":"Li","sequence":"additional","affiliation":[{"name":"College of Economics &amp; Management Anhui Agricultural University  Hefei 230036 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0933-1327","authenticated-orcid":false,"given":"Baofeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Economics and Management Beihang University  Beijing 100083 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The majority of papers in this area implicitly assume an\n                    <jats:italic>alternative\u2010based<\/jats:italic>\n                    modeling approach: The forward model finds an optimal set of actions (decisions) from among a given set of alternatives, while the inverse model imputes objective function coefficients corresponding to these alternatives. Since the imputed weights correspond only to alternatives existing in the training set, alternative\u2010based modeling is limited to applications where the set of options does not change when a prediction is needed. In this paper, we apply an\n                    <jats:italic>attribute\u2010based<\/jats:italic>\n                    perspective, which allows IO to impute the weights of attributes that lead to an optimal decision instead of imputing the weight of the decision itself. This perspective expands the range of IO applicability; we demonstrate that it facilitates the application of IO in assortment optimization, where changing product selections is a defining feature and accurate predictions of demand are important. We compare inverse attribute\u2010based optimization with rank\u2010based and machine learning methods. We show that since IO encodes the utility optimizing behavior of the consumer into the preference learning process, it results in lower assortment regret for the store and a lower utility gap for the\u00a0consumers.\n                  <\/jats:p>","DOI":"10.1111\/itor.13116","type":"journal-article","created":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T03:10:06Z","timestamp":1643080206000},"page":"3514-3536","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Inverse attribute\u2010based optimization with an application in assortment optimization"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1431-3414","authenticated-orcid":false,"given":"Elaheh H.","family":"Iraj","sequence":"first","affiliation":[{"name":"Department of Mechanical, Industrial and Aerospace Engineering Gina Cody School of Engineering and Computer Science Concordia University Montr\u00e9al QC H3G 1M8 Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1585-9806","authenticated-orcid":false,"given":"Daria","family":"Terekhov","sequence":"additional","affiliation":[{"name":"Department of Mechanical, Industrial and Aerospace Engineering Gina Cody School of Engineering and Computer Science Concordia University Montr\u00e9al QC H3G 1M8 Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,1,25]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.49.5.771.10607"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2021.2192"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2017.1705"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1287\/ijoo.2019.0045"},{"key":"e_1_2_8_6_1","unstructured":"B\u00e4rmann A. 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However, current approaches are not sufficient as they lack at least one of the following features: fast computations of optimal solutions, good geometric properties, and nestedness of the\u00a0pits. In this work, we propose an optimization model to address the problem of determining multiple nested pits by introducing a cost\u2010based penalty for not meeting precedence constraints linked to a minimum bottom width. Using penalties instead of constraints is novel and turns out to have several advantages. First, the constraint matrix is totally unimodular; thus, the problem can be solved efficiently. Second, the model can be parameterized to generate nested pits. Therefore, our model is the first published model that is efficient, can be solved to optimality, preserves the nestedness of the solutions, and produces geometries more amenable for mine design, without the need for\u00a0heuristics. Finally, we devise an iterative method that profits from the nestedness of the solutions to speed up the resolution and test the model in three different data sets, with different geometrical and cost parameters for a total of 135 different instances. 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In this study, a supply chain model including the original equipment manufacturer and the independent remanufacturer (IR) was constructed, and three models\u2014no ORR, unconditional ORR, and positive ORR\u2014were compared. The results highlight that the IR prefers to choose the ORR strategy to increase profits. However, if the number of online reviews without rebates is already high, the IR prefers the use of no ORR strategy to prevent the negative effects of excessive rebate costs associated with the production of remanufactured products.<\/jats:p>","DOI":"10.1111\/itor.70053","type":"journal-article","created":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T03:29:32Z","timestamp":1748230172000},"page":"507-528","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Is money all\u2010powerful? 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Available athttps:\/\/mp.weixin.qq.com\/s\/KipaJCw3bDejogMfEfcdFA(accessed 21 September 2023)."},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2019.08.015"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2024.103448"},{"key":"e_1_2_8_18_1","unstructured":"Wu Y. Chen L. Ngai E. Wu P. 2024.Stimulating positive reviews by combining financial and compassionate incentives.Internet Research.https:\/\/doi.org.10.1108\/INTR\u201001\u20102023\u20100062(accessed on May 2024)."},{"issue":"1","key":"e_1_2_8_19_1","first-page":"1","article-title":"Optimal pricing and remanufacturing entry strategies of manufacturers in the presence of online reviews","volume":"316","author":"Yan X.","year":"2021","journal-title":"Annals of Operations Research"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2018.07.032"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2022.102697"},{"key":"e_1_2_8_22_1","unstructured":"Yu B. 2024.Over 7 000 Internet service complaints from Dongguan China in 2023. Yangcheng Evening News. 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Managers of apparel manufacturing units face this problem during the planning of the first stage of the manufacturing process. It affects the fluidity of the work flow and use of fabric. It consists in dividing every garment's order into sections, assigning the sizes to them, and determining their lengths and numbers of layers such that the total fabric length is minimized. Current industrial practice assumes that the length of the layout of a section is known <jats:italic>a priori<\/jats:italic>, and it does not depend on its combination of sizes. That is, the industry solves COP independently of the two\u2010dimensional layout (TDL) that is the second stage of the manufacturing process. By relying on the length estimates in lieu of determining the actual length of a section, the industry is obtaining erroneous estimates of the true length used. Herein, COP and TDL are combined into a single problem CT (CT\u00a0=\u00a0COP\u00a0+\u00a0TDL) whose objective is to minimize fabric length. CT is solved using constructive heuristics, and three metaheuristics: a stochastic local improvement method, global improvement method, and hybrid approach. The approaches are tested on existing benchmark instances and new industrial cases. Their results provide computational proof of the benefits that industry can ripe by combining COP and TDL. The comparison of the performance of the approaches highlights their respective academic and practical utilities.<\/jats:p>","DOI":"10.1111\/itor.12104","type":"journal-article","created":{"date-parts":[[2014,6,24]],"date-time":"2014-06-24T21:50:41Z","timestamp":1403646641000},"page":"321-353","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Heuristics for the combined cut order planning two\u2010dimensional layout problem in the apparel industry"],"prefix":"10.1111","volume":"23","author":[{"given":"Rym","family":"M'Hallah","sequence":"first","affiliation":[{"name":"Department of Statistics and Operations Research Kuwait University  P.O. Box 5969 Safat 13060 Kuwait"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahlem","family":"Bouziri","sequence":"additional","affiliation":[{"name":"Institut Sup\u00e9rieur des Arts Multim\u00e9dia Manouba University  13 rue des Entrepreneurs Charguia II Tunisia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2014,6,24]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.47.8.1160.10230"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.11.038"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1057\/jors.2008.169"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-008-0456-5"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2006.02.026"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.11.016"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73325-6_45"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1060.0293"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.03.011"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comgeo.2009.12.003"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2007.09.012"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2006.08.011"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(01)00330-7"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.44.3.301"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(02)00131-5"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2005.11.063"},{"key":"e_1_2_8_18_1","unstructured":"Elomri A. 1992.M\u00e9thode d'optimisation dans un contexte productique. 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Today's dyeing shops receive hundreds of demands with thousands of different colors, different due dates, and different production requirements. This situation has made it very difficult for the human brain to create a minimum\u2010cost production plan by complying with the due dates. In this study, a real\u2010life problem of a company operating in the textile industry is discussed and a solution has been developed for the planning of yarn\u2010dyeing boilers. The application was held in Bursal\u0131 Textile, which is the major towel manufacturer operating in Turkey. The problem dealt with is basically in the nature of the variable\u2010size bin\u2010packing problem (VSBPP). The limited availability of bins (<jats:italic>boilers<\/jats:italic>) of different sizes and the packing of the items (<jats:italic>yarn work orders<\/jats:italic>) with due date constraints are the original aspects of this study. Multi\u2010objective mixed integer programming model is developed to minimize two objectives. For the solution, the preemptive method called the lexicographic approach, in which the objectives are solved in order, is preferred. As the first objective, the overcapacity usage is minimized and then the second objective, which is the boiler usage cost, is minimized. Given that the VSBPP is strongly NP\u2010hard, an iterated greedy algorithm with two different decoding approaches is proposed. Computational experiments were conducted on 20 randomly generated benchmark instances and a real\u2010world industrial dataset. The numerical results show that good solutions can be obtained in seconds using the proposed approaches.<\/jats:p>","DOI":"10.1111\/itor.13232","type":"journal-article","created":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T04:41:43Z","timestamp":1668573703000},"page":"115-139","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["An iterated greedy algorithm for the planning of yarn\u2010dyeing boilers"],"prefix":"10.1111","volume":"31","author":[{"given":"Yunus","family":"Demir","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering Bursa Technical University  Bursa Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,11,15]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"AlEnezi Q. AboElFotoh H. AlBdaiwi B. AlMulla M. 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However, in flexible environments, such as healthcare or customer service, delivering comprehensible process models can be very challenging, mainly due to the complexity of the registered logs. A prevalent response to this problem is trace clustering, that is, grouping behaviors and discovering a distinct model per group. In this paper, we propose a novel trace clustering technique inspired from the outranking relations theory. The proposed technique can handle multiple criteria with strongly heterogeneous scales, and it allows a non\u2010compensatory logic to guide the creation of a similarity metric. To reach this, we use three key components: We separate factors that are in favor of the similarity from those that are not, through discrimination thresholds; we provide non\u2010concordant factors with a \u201cveto\u201d power; and we aggregate all factors into an overall metric. We evaluated this novel, non\u2010compensatory approach against two of the most spotlighted trace clustering functions: variants' identification and model complexity reduction. Results suggest that the proposed technique can be used at both functions with compelling performance.<\/jats:p>","DOI":"10.1111\/itor.12395","type":"journal-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T16:02:47Z","timestamp":1486483367000},"page":"1828-1846","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["A non\u2010compensatory approach for trace clustering"],"prefix":"10.1111","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3722-2307","authenticated-orcid":false,"given":"Pavlos","family":"Delias","sequence":"first","affiliation":[{"name":"Department of Accounting and Finance Eastern Macedonia and Thrace Institute of Technology Agios Loukas Kavala PC 65110 Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Doumpos","sequence":"additional","affiliation":[{"name":"School of Production Engineering and Management Technical University of Crete, University Campus Kounoupidiana Chania PC 73100 Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evangelos","family":"Grigoroudis","sequence":"additional","affiliation":[{"name":"School of Production Engineering and Management Technical University of Crete, University Campus Kounoupidiana Chania PC 73100 Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikolaos","family":"Matsatsinis","sequence":"additional","affiliation":[{"name":"School of Production Engineering and Management Technical University of Crete, University Campus Kounoupidiana Chania PC 73100 Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,2,7]]},"reference":[{"key":"e_1_2_5_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-012-1169-3"},{"key":"e_1_2_5_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2011.11.003"},{"key":"e_1_2_5_4_1","first-page":"159","volume-title":"Business Process Management, Lecture Notes in Computer Science","author":"Bose R.P.J.C.","year":"2009"},{"key":"e_1_2_5_5_1","doi-asserted-by":"crossref","unstructured":"Bose R.P.J.C. Aalst W.M.P. 2009b.Context aware trace clustering: towards improving process mining results.Proceedings of the SIAM International Conference on Data Mining SDM 2009 Sparks NV pp.401\u2013412.","DOI":"10.1137\/1.9781611972795.35"},{"key":"e_1_2_5_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12186-9_16"},{"issue":"1","key":"e_1_2_5_7_1","first-page":"1","article-title":"clvalid: an R package for cluster validation","volume":"25","author":"Brock G.","year":"2008","journal-title":"Journal of Statistical Software"},{"key":"e_1_2_5_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20511-8_20"},{"key":"e_1_2_5_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2015.08.003"},{"key":"e_1_2_5_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2014.10.006"},{"key":"e_1_2_5_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.64"},{"key":"e_1_2_5_12_1","first-page":"51","volume-title":"Decision Support Systems IV \u2013 Information and Knowledge Management in Decision Processes, Lecture Notes in Business Information Processing, Vol. 221","author":"Delias P.","year":"2015"},{"key":"e_1_2_5_13_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJORIS.2018040101"},{"key":"e_1_2_5_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2496(86)90020-9"},{"key":"e_1_2_5_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/01969727408546059"},{"key":"e_1_2_5_16_1","doi-asserted-by":"crossref","unstructured":"Ekanayake C.C. Dumas M. Garc\u00eda\u2010Ba nuelos L. Rosa M. 2013.Slice mine and dice: complexity\u2010aware automated discovery of business process models.Business Process Management: 11th International Conference BPM 2013 Beijing China August 26\u201330 2013. Springer Berlin Heidelberg pp.49\u201364.","DOI":"10.1007\/978-3-642-40176-3_6"},{"key":"e_1_2_5_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.05.034"},{"key":"e_1_2_5_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-92828-7_3"},{"key":"e_1_2_5_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(01)00370-8"},{"key":"e_1_2_5_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00670-8_10"},{"key":"e_1_2_5_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.123"},{"key":"e_1_2_5_22_1","unstructured":"G\u00fcnther C.W. 2009.Process mining in flexible environments.PhD dissertation Technische Universiteit Eindhoven Eindhoven."},{"key":"e_1_2_5_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-75183-0_24"},{"key":"e_1_2_5_24_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti517"},{"key":"e_1_2_5_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(00)00035-7"},{"key":"e_1_2_5_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2008.08.005"},{"key":"e_1_2_5_27_1","unstructured":"Latva\u2010Koivisto A. 2001.Finding a complexity measure for business process models.Technical Report Mat\u20102.108 Helsinki University of Technology Finland."},{"key":"e_1_2_5_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.07.033"},{"key":"e_1_2_5_29_1","volume-title":"Process Measurement in Business Process Management: Theoretical Framework and Analysis of Several Aspects","author":"Melcher J.","year":"2012"},{"key":"e_1_2_5_30_1","volume-title":"Metrics for Process Models Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness","author":"Mendling J.","year":"2008"},{"key":"e_1_2_5_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2012.11.006"},{"key":"e_1_2_5_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(00)00041-2"},{"key":"e_1_2_5_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2500-1"},{"key":"e_1_2_5_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5025-9_1"},{"key":"e_1_2_5_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-23081-5_1"},{"key":"e_1_2_5_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2008.12.036"},{"key":"e_1_2_5_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2013.05.003"},{"key":"e_1_2_5_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/0165-4896(87)90005-9"},{"key":"e_1_2_5_39_1","first-page":"17","volume-title":"Advances in Machine Intelligence & Soft\u2010Computing","author":"S\u0142owi\u0144ski R.","year":"1997"},{"key":"e_1_2_5_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(86)90157-8"},{"key":"e_1_2_5_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2008.07.002"},{"key":"e_1_2_5_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00328-8_11"},{"key":"e_1_2_5_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2015.07.007"},{"key":"e_1_2_5_44_1","first-page":"423","volume-title":"Wirtschaftsinformatik Proceedings 2015","author":"Thaler T.","year":"2015"},{"key":"e_1_2_5_45_1","unstructured":"vanDongen B. 2011.Real\u2010Life Event Logs\u2014Hospital Log. Available at:http:\/\/data.4tu.nl\/repository\/uuid:d9769f3d\u20100ab0\u20104fb8\u2010803b\u20100d1120ffcf54(accessed 31 January 2017)."},{"key":"e_1_2_5_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12186-9_10"}],"container-title":["International Transactions in Operational Research"],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fitor.12395","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/itor.12395","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/itor.12395","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/itor.12395","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T12:10:34Z","timestamp":1694088634000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/itor.12395"}},"issued":{"date-parts":[[2017,2,7]]},"references-count":45,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["10.1111\/itor.12395"],"URL":"https:\/\/doi.org\/10.1111\/itor.12395","archive":["Portico"],"ISSN":["0969-6016","1475-3995"],"issn-type":[{"value":"0969-6016","type":"print"},{"value":"1475-3995","type":"electronic"}],"published":{"date-parts":[[2017,2,7]]},"assertion":[{"value":"2016-06-27","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2017-01-11","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2017-02-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T09:55:03Z","timestamp":1768902903078,"version":"3.49.0"},"reference-count":46,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71672154"],"award-info":[{"award-number":["71672154"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012456","name":"National Social Science Fund of China","doi-asserted-by":"publisher","award":["19XGL021"],"award-info":[{"award-number":["19XGL021"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int Trans Operational Res"],"published-print":{"date-parts":[[2022,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Blood component preparation, which is the process of separating whole blood into components that are later used in hematotherapy, plays a significant role in the blood supply chain because it dramatically affects the component inventory levels in blood banks. A dynamic programming model is proposed for jointly optimizing the preparation and inventory management of blood components under uncertainty in both the supply of whole blood and the demand for blood components to better meet demand and manage component inventory levels. The combinations of five common methods for preparing blood components with filtration and centrifugation processes are considered, which generate diverse component varieties and volumes while incurring different costs. Moreover, downward substitution among different types of red blood cells is introduced. Subsequently, an approximate dynamic programming method is proposed to solve the problem of coping with its uncertain characteristics. 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This study investigates the downstream retailer's optimal strategy to introduce a 3P seller who sells a substitutable product. We develop a game\u2010theoretic model, through which our first result shows that the retailer introduces a 3P seller only when the marginal costs of the products are in a medium range. Second, the retailer's strategy of introducing a 3P seller may benefit the manufacturer, even though the introduction creates downstream competition that may reduce the sales of the manufacturer's product. This happens because the strategy of introducing a 3P seller can mitigate the double marginalization between the manufacturer and retailer. In contrast to the conventional wisdom that introducing a 3P seller always results in a \u201cwin\u2013lose\u201d outcome for the retailer and manufacturer, we derive evidence that introducing a 3P seller can lead to a \u201cwin\u2010win\u201d outcome for the retailer and manufacturer and thus improve the channel performance. 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PNLSs balance between intensification and diversification is mainly determined by its single parameter \u03bb designing the subset size. We analyze and discuss three PNLSs variants, using the abstraction of several combinatorial optimization problems into fitness landscapes: NK landscapes, Unconstrained Binary Quadratic Programming, Flow\u2010shop scheduling, and Quadratic Assignment. Our empirical study first analyses the structure of these landscapes through indicators. Then, we perform a parameter study of PNLSs for two computational budgets to study the impact of the sample size on the balance between intensification and diversification on different landscapes. Moreover, these experiments allow us to set an appropriate parameter value to compare the ability of PNLSs to reach good\u2010quality solutions accurately. 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This paper considers the rationale, design, and evaluation of an open\u2010source priority estimation tool, PriEsT, which has been developed to offer new features related to the PC method. PriEsT is able to assist DMs in interactively identifying and revising their judgments based on different consistency measures and graphical aids. When inconsistency cannot be improved due to practical limitations, PriEsT offers a wide range of Pareto\u2010optimal solutions based on multiobjective optimization, unlike other tools that offer only a single solution. DMs have the flexibility to select any of these nondominated solutions according to their requirements. The features of PriEsT have been demonstrated and evaluated through its application to a real\u2010world case study: the selection of the most appropriate telecom infrastructure for rural areas. This case study using PriEsT has highlighted the presence of intransitive judgments in the acquired data, and the correction of these judgments has led to a different ranking of the available alternatives.<\/jats:p>","DOI":"10.1111\/itor.12054","type":"journal-article","created":{"date-parts":[[2013,10,18]],"date-time":"2013-10-18T09:43:47Z","timestamp":1382089427000},"page":"217-235","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["PriEsT: an interactive decision support tool to estimate priorities from pairwise comparison judgments"],"prefix":"10.1111","volume":"22","author":[{"given":"Sajid","family":"Siraj","sequence":"first","affiliation":[{"name":"Portsmouth Business School Richmond Building, Portland Street University of Portsmouth  Portsmouth PO1 3DE United Kingdom"},{"name":"Department of Electrical Engineering COMSATS Institute of Information Technology  Wah Cantonment 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This paper investigates the optimal trade credits provided by the supplier and retailer, and the optimal order quantity, assuming credit\u2010dependent demand in a newsvendor model. The strategic interaction between the supplier and retailer is modeled as a Stackelberg game with the supplier as the leader. We provide conditions under which the optimal decisions on trade credits and order quantity can be uniquely determined, which enable us to examine the relationship between the optimal trade credits and describe conditions providing them. We also compare the credit contract and price contract in profit, consumer surplus, social welfare, double marginalization, and supply chain coordination, and our analysis shows that the trade\u2010credit contract amounts to an alternative for the price contract. 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We model a single\u2010period Stackelberg game in which a manufacturer sells new products to a retailer and collects used products with exogenous retail price and collection price via three alternative reverse channels: (a) the manufacturer collects directly from customers, (b) the retailer collects for the manufacturer, and (c) a third party is awarded a collection subcontract from the manufacturer. We carry out a comprehensive investigation under push\u2013pull configurations to observe how reverse channel structures with different gaming sequences of CLSC members influence the worst\u2010case performance when the demand distribution is over the set of increasing generalized failure rate distributions. From our PoA analysis, we find that the pull system does not always outperform the push system, especially when the retailer is the leader, in contrast to the results for forward supply chains. 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Academic models for personnel rostering typically abstractly conceptualize complex real\u2010world problem characteristics. Often only one isolated scheduling period is considered, contradicting common practice where personnel rostering inherently spans multiple dependent periods. The state of the art offers no systematic approach to address this modeling challenge, and consequently, few models capture the requirements imposed by practice. The present paper introduces the concepts of local and global consistency in constraint evaluation processes and proposes a general methodology to address these challenges in integer programming approaches. The impact of inconsistent constraint evaluation is analyzed in a case study concerning rostering nurses in a hospital ward, of which the data have been made publicly available. 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De\u00a0Causmaecker P. Petrovic S. Vanden\u00a0Berghe G. 2001.Fitness evaluation for nurse scheduling problems.Proceedings of the Congress on Evolutionary Computation Seoul Korea pp.1139\u20131146.","DOI":"10.1109\/CEC.2001.934319"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.07.036"},{"key":"e_1_2_8_7_1","unstructured":"Dang N. De\u00a0Causmaecker P. Ceschia S. Schaerf A. Haspeslagh S. 2015.The second international nurse rostering competition. Available athttp:\/\/http:\/\/mobiz.vives.be\/inrc2\/(accessed January 18 2016)."},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/jan.12238"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.05.046"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-012-1062-0"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-003-0426-2"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1057\/hs.2015.12"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2005.03.019"},{"key":"e_1_2_8_14_1","unstructured":"Salassa F. 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Hubs serve as switching points to consolidate and route traffic in order to realize economies of scale. The main decisions associated with hub\u2010network problems include (1) determining the number of hubs (<jats:italic>p<\/jats:italic>), (2) selecting the <jats:italic>p<\/jats:italic>\u2010nodes in the network that will serve as hubs, (3) allocating non\u2010hub nodes (terminals) to up to <jats:italic>r<\/jats:italic>\u2010hubs, and (4) routing the pairwise o\u2010d traffic. Typically, hub location problems include all four decisions while hub allocation problems assume that the value of <jats:italic>p<\/jats:italic> is given. In the hub median problem, the objective is to minimize total cost, while in the hub center problem the objective is to minimize the maximum cost between origin\u2013destination pairs. We study the uncapacitated (i.e., links with unlimited capacity) <jats:italic>r<\/jats:italic>\u2010allocation <jats:italic>p<\/jats:italic>\u2010hub equitable center problem (with<jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12441-math-0001.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12441:itor12441-math-0001\"\/>) and explore alternative models and solution procedures.<\/jats:p>","DOI":"10.1111\/itor.12441","type":"journal-article","created":{"date-parts":[[2017,7,19]],"date-time":"2017-07-19T16:52:43Z","timestamp":1500483163000},"page":"1241-1267","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Models and solution methods for the uncapacitated <i>r<\/i>\u2010allocation <i>p<\/i>\u2010hub equitable center problem"],"prefix":"10.1111","volume":"25","author":[{"given":"Juanjo","family":"Peir\u00f3","sequence":"first","affiliation":[{"name":"Departament d'Estad\u00edstica i Investigaci\u00f3 Operativa Facultat de Ci\u00e8ncies Matem\u00e0tiques Universitat de Val\u00e8ncia  Carrer del Doctor Moliner, 50. 46100 \u2013 Burjassot Valencia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c1ngel","family":"Corber\u00e1n","sequence":"additional","affiliation":[{"name":"Departament d'Estad\u00edstica i Investigaci\u00f3 Operativa Facultat de Ci\u00e8ncies Matem\u00e0tiques Universitat de Val\u00e8ncia  Carrer del Doctor Moliner, 50. 46100 \u2013 Burjassot Valencia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuel","family":"Laguna","sequence":"additional","affiliation":[{"name":"Leeds School of Business University of Colorado Boulder  Boulder CO 80309 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Mart\u00ed","sequence":"additional","affiliation":[{"name":"Departament d'Estad\u00edstica i Investigaci\u00f3 Operativa Facultat de Ci\u00e8ncies Matem\u00e0tiques Universitat de Val\u00e8ncia  Carrer del Doctor Moliner, 50. 46100 \u2013 Burjassot Valencia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,7,19]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1015061802659"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-006-0031-4"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2007.06.008"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1057\/jors.1990.166"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-015-0973-5"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-016-1004-x"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(94)90318-2"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1120.0410"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2008.08.021"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0966-8349(96)00011-3"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2013.01.012"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-6377(89)90002-3"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01096763"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1475-3995.2009.00663.x"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1475-3995.2009.00664.x"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11235-010-9289-z"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2012.03.014"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.02.022"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(99)00274-X"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2014.12.009"},{"key":"e_1_2_9_22_1","doi-asserted-by":"crossref","unstructured":"Milanovi\u0107 M. 2010.A new evolutionary based approach for solving the uncapacitated multiple allocation p\u2010hub median problem. 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To deal with these uncertainties, three formulations are proposed: (1) a two\u2010stage stochastic model with a finite number of realizations, (2) a robust min\u2013max regret model and (3) a max\u2013min model. These models were applied to Brazil's oil chain, comprising 17 refineries and three main petrochemical plants, 16 groups of crude oils, 50 intermediate products, 10 final products, 13 terminals and a logistic network composed of 278 transportation arcs relative to the road, water, rail and pipeline modes. The time horizon analyzed covers 10 years. The results indicate significant financial differences between the three formulations, depending on the agent's risk profile.<\/jats:p>","DOI":"10.1111\/j.1475-3995.2009.00756.x","type":"journal-article","created":{"date-parts":[[2010,8,12]],"date-time":"2010-08-12T16:51:20Z","timestamp":1281631880000},"page":"777-796","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":66,"title":["Optimization under uncertainty of the integrated oil supply chain using stochastic and robust programming"],"prefix":"10.1111","volume":"17","author":[{"given":"Gabriela P.","family":"Ribas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvio","family":"Hamacher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandre","family":"Street","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2010,8,12]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.06.081"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/PL00011380"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1030.0065"},{"key":"e_1_2_7_5_1","volume-title":"Introduction to Stochastic Programming","author":"Birge J.","year":"1997"},{"key":"e_1_2_7_6_1","unstructured":"Bisschop J. 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While the SLSP in previous studies assumes that each lane is associated with a set of discrete times at which it can be served, this study considers a generalized version assuming a lane service time window for each lane, which is named the SLSP with time windows (SLSPTW). The SLSPTW is formulated as a mixed integer linear programming model that minimizes the sum of the transportation and the service\/setup costs incurred by the shipper to auction off the lanes served by the carriers. In the proposed two\u2010stage solution approach, the first stage is designed to generate quickly a set of possible solutions, the best of which is then verified by a decomposed model of the SLSPTW at the second stage. Besides, an iterative\u2010improvement mechanism for the proposed algorithm is adopted to achieve the efficiency of the solution quality improvement. 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This paper presents a novel load forecasting approach called genetic\u2010based adaptive neuro\u2010fuzzy inference system (GBANFIS) to construct short\u2010term load forecasting expert systems and controllers. At the first stage, all records of data are searched by a novel genetic algorithm (GA) to find the most suitable feature of inputs to construct the model. Then, determined inputs are fed into the adaptive neuro\u2010fuzzy inference system to evolve the initial knowledge\u2010base of the expert system. Finally, the initial knowledge\u2010base is searched by another robust GA to induce a better cooperation among the rules by rule weight derivation and rule selection mechanisms. We show the superiority and applicability of our approach by applying it to the Iranian monthly electrical energy demand problem and comparing it with the most frequently adopted approaches in this field. Results indicate that GBANFIS outperforms its rival approaches and is a promising tool for dealing with short\u2010term load forecasting problems.<\/jats:p>","DOI":"10.1111\/itor.12046","type":"journal-article","created":{"date-parts":[[2013,10,18]],"date-time":"2013-10-18T06:39:32Z","timestamp":1382078372000},"page":"311-326","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["An evolutionary\u2010based adaptive neuro\u2010fuzzy inference system for intelligent short\u2010term load forecasting"],"prefix":"10.1111","volume":"21","author":[{"given":"S.M.R.","family":"Kazemi","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering College of Engineering, Birjand University of Technology  Birjand Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mir Meisam","family":"Seied Hoseini","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering Amirkabir University of Technology P.O. Box 15875\u20104413, Tehran Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Abbasian\u2010Naghneh","sequence":"additional","affiliation":[{"name":"Department of Mathematics Najafabad Branch Islamic Azad University  Najafabad Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seyed Habib A.","family":"Rahmati","sequence":"additional","affiliation":[{"name":"Young Researchers and Elite Club Qazvin Branch, Islamic Azad University  Qazvin Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2013,10,18]]},"reference":[{"key":"e_1_2_5_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1568-4946(01)00013-8"},{"key":"e_1_2_5_3_1","first-page":"44","volume-title":"LNAI 2873","author":"Alcala R.","year":"2003"},{"key":"e_1_2_5_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0954-1810(98)00018-1"},{"key":"e_1_2_5_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2009.11.036"},{"key":"e_1_2_5_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2006.08.094"},{"key":"e_1_2_5_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2008.02.035"},{"key":"e_1_2_5_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2008.02.021"},{"key":"e_1_2_5_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.02.081"},{"key":"e_1_2_5_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2007.04.020"},{"key":"e_1_2_5_11_1","first-page":"3","volume-title":"Fuzzy Modeling and the Interpretability Accuracy Trade\u2010Off. 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multi\u2010objective indefinite quadratic transportation problem (TP) is introduced. Due to some unavoidable reasons, real\u2010life transportation parameters such as supply, demand and costs are indeterminate in nature and cannot be expressed in crisp terms. We represent these parameters using FF numbers, an extension of fuzzy numbers, which are capable of representing indeterminacy efficiently. A multi\u2010objective indefinite quadratic TP where each objective is a product of two linear factors (cost functions) is considered. Defuzzification of FF numbers is accomplished by the introduction of \u2010cut for the first time. The obtained crisp TP is solved using the intuitionistic fuzzy programming approach and FF programming approach to arrive at a compromise solution. To substantiate the work, solution methodology based on defuzzification using the ranking function is also deliberated. The applicability of the model is demonstrated through a sustainable TP, which simultaneously minimizes transportation cost with depreciation cost and packaging cost with wastage cost. The resulting value of the objective functions and the aspiration levels are compared to depict the efficacy of the proposed method over the ranking function method. The concluding section\u00a0summarizes the work, and future avenues along with some limitations of the work are also\u00a0specified.<\/jats:p>","DOI":"10.1111\/itor.13513","type":"journal-article","created":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T01:45:10Z","timestamp":1721180710000},"page":"1977-2002","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A new Fermatean fuzzy multi\u2010objective indefinite quadratic transportation problem with an application to sustainable transportation"],"prefix":"10.1111","volume":"32","author":[{"given":"Aakanksha","family":"Singh","sequence":"first","affiliation":[{"name":"Department of Applied Science and Humanities Indira Gandhi Delhi Technical University for Women  Delhi 110 006 India"},{"name":"Department of Mathematics Aryabhatta College, University of Delhi  Delhi 110 021 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It has an increasingly prominent influence on consumers\u2019 purchasing decisions. To study the influence of customers\u2019 anchoring psychology and product pricing on customers\u2019 purchasing behaviors, this paper proposes a pricing model that considers online consumers to be anchored by the product price and sales. The cognitive bias of online consumers is described by a utility function based on an anchoring\u2010adjustment heuristic, and consumer choice behavior and an online product pricing strategy are studied with a multinomial logit model. Then, it studies the influence of the anchoring point and anchoring degree on optimal pricing, sales and profit. In particular, when consumers are anchored only by sales of goods, the optimal solution is monotonic with respect to the anchoring degree. However, when consumers are anchored by both price and sales, both factors affect consumer behaviors and produce more complex results. 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We examine the decision between two prevalent online sales modes: reselling mode and marketplace mode. Our results demonstrate that when the own\u2010label products are sold in the marketplace mode, both the manufacturer and platform prefer to sell platform's private\u2010label products in the marketplace mode, but the former prefers a low commission rate and the latter a high rate. However, a \u201cwin\u2010win\u201d zone exists in the marketplace mode for the manufacturer and platform under a moderate commission rate. When the own\u2010label products are sold in the reselling mode, with the increase in the commission rate, the platform first prefers the reselling mode, then the marketplace mode, and finally the reselling mode. When the own\u2010label products are sold in the reselling mode, the environmental impact depends on the commission rate and the environmental advantages of the private\u2010label products. For quantity coordination, when the two products are sold in different modes, the manufacturer and platform can be coordinated under appropriate conditions. For social welfare coordination, even if both products are sold in the reselling mode, the two firms are coordinated under a low carbon\u00a0emission.<\/jats:p>","DOI":"10.1111\/itor.13355","type":"journal-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T01:59:32Z","timestamp":1689731972000},"page":"2248-2277","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["The channel selection and coordination considering platform private\u2010label products"],"prefix":"10.1111","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9727-0151","authenticated-orcid":false,"given":"Yujing","family":"Chen","sequence":"first","affiliation":[{"name":"School of Management Guangzhou University Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5930-3298","authenticated-orcid":false,"given":"Xiaoping","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Business Anhui University Hefei China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanguang","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Business Administration South China University of Technology Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"Alibaba. 2022.Environmental Social and Governance Report. 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This paper explores both the AI literature and the efficiency literature as applied to HEIs following the Preferred Reporting Items for Systematic Review guidelines. The goal is to identify the relevant research that uses nonparametric efficiency and AI techniques within the HEI sector by examining articles published up to March 2025. Our findings provide a powerful mix of bibliometric and systematic literature review results that identify the main trends common to these two strands of research. The analysis highlights a long\u2010standing tradition of applying nonparametric efficiency analysis to the sector, as it is attracting the increasing attention of AI scholars. We outline the substantial evidence that reveals much room for improvement in efficiency in the HEI sector, and how the application of AI may be well\u2010suited. This is particularly evident as AI can support efficiency evaluations, particularly in handling tasks that traditional efficiency techniques alone cannot perform. A key contribution of this work is the identification of the opportunities for further research focus within this critical intersection between the two fields, which can inform both HEI administrators and policymakers.<\/jats:p>","DOI":"10.1111\/itor.70070","type":"journal-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T15:08:26Z","timestamp":1752505706000},"page":"1427-1464","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Nonparametric efficiency and artificial intelligence techniques in higher education: a systematic literature review and bibliometric analysis"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5853-3318","authenticated-orcid":false,"given":"Anna Rita","family":"Dipierro","sequence":"first","affiliation":[{"name":"Department of Economics, Statistics and Finance University of Calabria  Cosenza 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In this paper, we propose a micro\u2010foundation to analyze consumers' purchase behavior, the interaction between airlines and OTAs for launching crowdfunding flights and design contracts to coordinate the supply chain. We find that airlines tend to reduce the participation threshold below the break\u2010even point to attract more consumers, even if doing so will incur losses when the demand is insufficient. We also examine the conditions under which crowdfunding dominates the traditional selling and find that airlines will adopt crowdfunding as the selling strategy if the competition is sufficiently intense in the market or flights' fixed cost is sufficiently high. Moreover, all consumers always strictly benefit from the crowdfunding offer. Crowdfunding can create a win\u2013win\u2013win situation for airlines, the OTA and consumers if the number of airlines in the market is in an intermediate range. We also investigate the supply chain coordination contracts and demonstrate that cost\u2010sharing contracts can coordinate the supply chain and achieve its optimal performance, whereas some other contracts, such as wholesale\u2010price, revenue\u2010sharing, and profit\u2010sharing contracts cannot do that. This paper highlights the importance of crowdfunding in the cooperation between airlines and\u00a0OTAs.<\/jats:p>","DOI":"10.1111\/itor.13128","type":"journal-article","created":{"date-parts":[[2022,2,27]],"date-time":"2022-02-27T05:58:31Z","timestamp":1645941511000},"page":"3537-3564","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Mechanisms of cooperation between airlines and online travel agencies for flight crowdfunding"],"prefix":"10.1111","volume":"29","author":[{"given":"Liuyi","family":"Ling","sequence":"first","affiliation":[{"name":"School of Management University of Science and Technology of China Hefei 230026 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuefeng","family":"Bao","sequence":"additional","affiliation":[{"name":"School of Management University of Science and Technology of China Hefei 230026 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8113-2472","authenticated-orcid":false,"given":"Zihao","family":"Zhang","sequence":"additional","affiliation":[{"name":"International Institute of Finance School of Management University of Science and Technology of China Hefei 230026 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Management University of Science and Technology of China Hefei 230026 China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,2,26]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"crossref","unstructured":"Agrawal A. 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An SC has a one\u2010manufacturer\u2010one\u2010retailer structure and competes against a symmetric SC. In each SC, the manufacturer decides both the production volume and the advertising efforts, while the retailer controls both the purchasing volume and the selling price. Firms within each SC can manage their business by adopting either a wholesale price contract (WPC) or a revenue\u2010sharing contract (RSC). In general, an SC can achieve coordination when shifting from a WPC to an RSC. Nevertheless, this is no longer true when SC competition exists. We show that an RSC is beneficial only when the rival SC uses a WPC. 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