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Each party starts the negotiation process at some inferior initial solution, for instance the best starting point that can be achieved without negotiation with the other parties, such as BATNA (best alternative to a negotiated agreement). In subsequent iterations, the process gravitates closer to the Pareto frontier by suggesting an improved solution to each party, based on the preference information (e.g., aspiration levels) provided by all parties at the previous iteration. The preference information that each party needs to provide is limited to aspiration levels for the objectives, and a party's revealed preference information is not shared with the opposing parties. Therefore, our method may represent a more natural negotiation environment than previous methods that rely on tradeoffs and sacrifice, and provides a positive decision support framework in which each party may be more comfortable with, and more readily accept, the proposed compromise solution. 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The effect of the regulation varies in a random fashion due to disturbances. The interaction between regulatory actions and outcomes is termed <jats:italic>quality diffusion<\/jats:italic>. In this paper, we address a specific version of such diffusion known as a mean\u2010reverting process (also termed Ornstein Uhlenbeck process). The total production cost includes both a quadratic cost of quality deviations, and a linear cost of production control. Assuming that both regulation and quality processes are continuously reviewed, an optimal quality regulation policy is sought to minimize the total production cost over a finite horizon. The optimal regulation is found to be a surge\u2010discharge control that can be characterized by a triplet including a discharge time, a stopping time, and a discharge function. The surge\u2010discharge control is easy to be implemented for a variety of applications. Computational algorithms for the optimal control are developed.<\/jats:p>","DOI":"10.1111\/j.1475-3995.1999.tb00163.x","type":"journal-article","created":{"date-parts":[[2006,8,29]],"date-time":"2006-08-29T16:46:33Z","timestamp":1156869993000},"page":"393-409","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Regulated quality diffusion under quadratic costs"],"prefix":"10.1111","volume":"6","author":[{"given":"J.","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S\u2010H.","family":"Nam","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","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1080\/00401706.1989.10488589","article-title":"An analysis of Taguchi's on\u2010line process control 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A primal affine\u2010scaling interior point method is presented, completing the affine\u2010scaling interior point family approach to the <jats:italic>L<\/jats:italic><jats:sub>\u221e<\/jats:sub> fitting problem. Computational complexity and data storage are reduced for interior point approaches when dealing with polynomial fitting problems. Numerical experiments indicate that interior point approaches rarely perform better than the simplex method for the tested problems. The primal affine\u2010scaling method presented in this paper achieved the best results among the interior point family.<\/jats:p>","DOI":"10.1111\/j.1475-3995.2004.00460.x","type":"journal-article","created":{"date-parts":[[2004,5,5]],"date-time":"2004-05-05T08:04:13Z","timestamp":1083744253000},"page":"309-322","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Interior point methods meet simplex in L, fitting problems"],"prefix":"10.1111","volume":"11","author":[{"given":"A. R. 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The time of each job depends on the vertex where it is performed. Once started, the traveler moves to the next vertex, and the job continues autonomously. The aim is to minimize the maximum completion time. Since the problem is NP\u2010hard, existing mixed\u2010integer linear programming (MILP) models are unable to solve large instances efficiently. Therefore, this paper proposes to enhance the existing MILP model and introduces a new MILP model for the TSPJ, which incorporates valid lower and upper bounds to strengthen them. Moreover, we propose two branch\u2010and\u2010cut (B&amp;C) algorithms based on the improved existing model and the new one. These algorithms integrate strengthened exponential\u2010size formulations that explicitly incorporate subtour elimination constraints and blossom inequalities. B&amp;C algorithms are tested on instances from the literature, comprising four sets of instances with sizes ranging from 17 to 1200 vertices. Computational results show that the proposed B&amp;C algorithms outperform the state\u2010of\u2010the\u2010art MILP models in all instances. Since no formulation achieves optimality within the given time limit for large instances, only three medium instances with up to 454 vertices have reached optimality. Consequently, we propose a fifth set of instances, ranging from 100 to 390 vertices, to further assess performance limits. B&amp;C algorithms demonstrate improved performance with lower gap values in all instances, and faster computing times while optimally solving instances with up to 386\u00a0vertices.<\/jats:p>","DOI":"10.1111\/itor.70092","type":"journal-article","created":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T05:36:25Z","timestamp":1756445785000},"page":"1465-1497","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Branch\u2010and\u2010cut algorithms for the traveling salesman problem with job times"],"prefix":"10.1111","volume":"33","author":[{"given":"Pablo","family":"Guti\u00e9rrez\u2010Aguirre","sequence":"first","affiliation":[{"name":"Departamento de Ingenier\u00eda Industrial Universidad de Concepci\u00f3n Edmundo Larenas 219 Concepci\u00f3n 4070409 Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9549-4143","authenticated-orcid":false,"given":"Carlos","family":"Contreras\u2010Bolton","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda Industrial Universidad de Concepci\u00f3n Edmundo Larenas 219 Concepci\u00f3n 4070409 Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,8,28]]},"reference":[{"volume-title":"The Traveling Salesman Problem: A Computational Study","year":"2006","author":"Applegate D.L.","key":"e_1_2_8_2_1"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.13452"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.13595"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2.4.393"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-6377(91)90083-2"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.13422"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.6028\/jres.069B.013"},{"key":"e_1_2_8_9_1","unstructured":"Gavish B. 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The problem has many applications in distributed systems and, in particular, the Industry 4.0 domain. Because Industry 4.0 applications rely primarily on the use of large\u2010scale machine to machine communications, they need data dissemination techniques that combine high reliability with low communication latency. This work proposes a Biased Random\u2010Key Genetic Algorithm and a matheuristic for the MBT. We carry out experiments with our algorithms on instances commonly used in the literature (hypercube, shuffle exchange, cube\u2010connected cycles, de Bruijn, Harary graphs), and also on massive synthetic instances (up to 1000 vertices), allowing to cover many possibilities of real industry topologies. Our proposal is also compared with state\u2010of\u2010the\u2010art exact methods and heuristics. Experimental results show that our algorithm is able to outperform the best\u2010known heuristics for the MBT, and also that it is a very good alternative for large instances that cannot be solved by current exact\u00a0methods.<\/jats:p>","DOI":"10.1111\/itor.13146","type":"journal-article","created":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T15:12:01Z","timestamp":1650467521000},"page":"246-273","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["A matheuristic approach for the minimum broadcast time problem using a biased random\u2010key genetic algorithm"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1701-0673","authenticated-orcid":false,"given":"Alfredo","family":"Lima","sequence":"first","affiliation":[{"name":"Instituto de Computa\u00e7\u00e3o Universidade Federal de Alagoas Av. 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The disaggregate methodology was originally pioneered in the United States, but much important development has taken place in Europe in the 1980s. The basis of the modelling and the scope of the models both broadened and developed. A substantial advance was made by establishing a link between the models and classical theories of micro\u2010economics, allowing the development of \u2018behavioural\u2019 models consistent with rational decision\u2010making. The competitive, or sometimes complementary, roles of other modes of travel have been recognised and brought into the modelling framework.<\/jats:p><jats:p>In recent years, forecasts of travel demand have been generated in studies in a number of countries in Northern Europe. These studies have encountered a common problem, which is that the assumptions and capabilities of the standard methodology have not been appropriate to address the problems of planning facilities in the early twenty\u2010first century. Amongst the principal difficulties are:<\/jats:p><jats:p>1. the population base is expected to change radically in terms of its age distribution \u2014 this the legacy of the Second World War, increased life expectancy and the aftermath of altered behaviour concerning family formation, linked to an increased participation of women in the work force;<\/jats:p><jats:p>2. the work force itself is expected to be radically different, also due to increased female participation;<\/jats:p><jats:p>3. there is an increasing pressure to suppress travel by private car, by any means politically feasible, in the anticipation of growing damage to the environment;<\/jats:p><jats:p>4. in consequence to the previous remark, there is the emergence of new types of travel (in particular, organised car\u2010pooling) and new types of regulation of movement (\u2018demand management\u2019 measures to control car commuters, and road\u2010pricing policies to reduce peak\u2010hour demand).<\/jats:p><jats:p>Increasingly, the modellers are asked to look at very different futures to the present day, and the models themselves are required to perform a role very much more demanding than the mere extrapolation of present day trends.<\/jats:p><jats:p>This paper reviews the performance of one particular disaggregate demand model system. the Netherlands National Model, used over a period of seven years to address the problem of producing forecasts appropriate to these new circumstances. 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Rapid industrialization and poor capacity utilization of power plants make the operations of energy consuming industries like integrated steel plants extremely difficult. This case study discusses the development and implementation of a mixed integer linear programming model for optimal distribution of electrical energy in an integrated steel plant. The model considers the balance equations of capacity, material, thermal and electrical energy, oxygen. It also considers the constraints of yields, product routes, net realizations, variable costs, market demands and commitments to decide not only the hierarchy of shutdowns in the event of a power crisis but also the optimal product mix in each level of power availability. The round\u2010the\u2010clock implementation of the model increased the net profit per ton of saleable steel by 58% in 1986. Since then, the model, which is generic in nature, has been successfully integrated into the decision\u2010making process. The cumulative benefit from this work will be at least 73 million US dollars.<\/jats:p>","DOI":"10.1111\/1475-3995.d01-4","type":"journal-article","created":{"date-parts":[[2003,11,2]],"date-time":"2003-11-02T15:52:26Z","timestamp":1067788346000},"page":"17-29","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Linear Programming Model for Distribution of Electrical Energy in a Steel Plant"],"prefix":"10.1111","volume":"1","author":[{"given":"Goutam","family":"Dutta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gopal P.","family":"Sinha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.N.","family":"Roy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Niloy","family":"Mitter","sequence":"additional","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.d01-4","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1475-3995.d01-4","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1475-3995.d01-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T08:07:56Z","timestamp":1694419676000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/1475-3995.d01-4"}},"issued":{"date-parts":[[1994,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1994,1]]}},"alternative-id":["10.1111\/1475-3995.d01-4"],"URL":"https:\/\/doi.org\/10.1111\/1475-3995.d01-4","archive":["Portico"],"ISSN":["0969-6016","1475-3995"],"issn-type":[{"value":"0969-6016","type":"print"},{"value":"1475-3995","type":"electronic"}],"published":{"date-parts":[[1994,1]]},"assertion":[{"value":"2003-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:26:38Z","timestamp":1761596798663},"reference-count":0,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2002,12,16]],"date-time":"2002-12-16T00:00:00Z","timestamp":1039996800000},"content-version":"vor","delay-in-days":410,"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":[[2001,11]]},"abstract":"<jats:p>We study a linear description of <jats:italic>PC<\/jats:italic><jats:sup><jats:italic>k<\/jats:italic><\/jats:sup><jats:sub><jats:italic>n<\/jats:italic><\/jats:sub> the convex hull of incidence vectors of all the cycles consisting of exactly <jats:italic>k<\/jats:italic> edges (<jats:italic>k<\/jats:italic>\u22654) in <jats:italic>K<jats:sub>n<\/jats:sub><\/jats:italic>, the complete undirected graph with <jats:italic>n<\/jats:italic> vertices. First, we describe some properties of <jats:italic>PC<\/jats:italic><jats:sup><jats:italic>k<\/jats:italic><\/jats:sup><jats:sub><jats:italic>n<\/jats:italic><\/jats:sub>. Second, we discuss relations between <jats:italic>PC<\/jats:italic><jats:sup><jats:italic>k<\/jats:italic><\/jats:sup><jats:sub><jats:italic>n<\/jats:italic><\/jats:sub> and <jats:italic>PC<\/jats:italic><jats:sup><jats:italic>k<\/jats:italic>\u2032<\/jats:sup><jats:sub><jats:italic>n<\/jats:italic>\u2032<\/jats:sub> with <jats:italic>k<\/jats:italic>\u2032&gt;<jats:italic>k<\/jats:italic> and <jats:italic>n<\/jats:italic>\u2032&gt;<jats:italic>n<\/jats:italic>. Then we give three lifting algorithms that transform a facet of <jats:italic>PC<\/jats:italic><jats:sup><jats:italic>k<\/jats:italic><\/jats:sup><jats:sub><jats:italic>n<\/jats:italic><\/jats:sub> into facets of <jats:italic>PC<\/jats:italic><jats:sup><jats:italic>k<\/jats:italic><\/jats:sup><jats:sub><jats:italic>n<\/jats:italic>\u2032<\/jats:sub> with <jats:italic>n<\/jats:italic>\u2032&gt;<jats:italic>n<\/jats:italic>. Finally, we provide an integer formulation and a partial linear description of <jats:italic>PC<\/jats:italic><jats:sup><jats:italic>k<\/jats:italic><\/jats:sup><jats:sub><jats:italic>n<\/jats:italic><\/jats:sub>.<\/jats:p>","DOI":"10.1111\/1475-3995.t01-1-00331","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T02:55:09Z","timestamp":1047437709000},"page":"673-692","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["On the Linear Description of the <i>k<\/i>\u2010cycle Polytope"],"prefix":"10.1111","volume":"8","author":[{"given":"V. 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Unprecedented cuts in public expenditures have taken place, particularly in the European Union periphery, reviving the discussion on the optimal size of the public sector. Supporters of fiscal restraint defend that bigger governments tend to be more inefficient, its opponents assume that government size determines the effectiveness of its performance. However, the social and economic impacts from contractionary fiscal policies ultimately depend on the level of public sector efficiency. Relatively inefficient governments have more scope to consolidate without compromising social welfare. In this paper, we adopt a multiple decision aiding approach, not previously employed for the assessment of complex macroeconomic performances, and employ the ELECTRE TRI\u2010C outranking method to categorize OECD countries on a set of criteria representing the quality of their public sectors. We then compare the obtained classifications with the share of each government's expenditures on GDP, to identify distinct levels of efficiency. Our analysis suggests that various countries exhibit a margin for efficiency gains, attenuating the social and economic effects of fiscal consolidation policies.<\/jats:p>","DOI":"10.1111\/itor.12394","type":"journal-article","created":{"date-parts":[[2017,2,8]],"date-time":"2017-02-08T16:26:44Z","timestamp":1486571204000},"page":"1935-1955","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["An application of the ELECTRE TRI\u2010C method to characterize government performance in OECD countries"],"prefix":"10.1111","volume":"26","author":[{"given":"Ana Sara","family":"Costa","sequence":"first","affiliation":[{"name":"CEG\u2010IST, Department of Engineering and Management Instituto Superior T\u00e9cnico Universidade de Lisboa  Lisboa Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9","family":"Rui Figueira","sequence":"additional","affiliation":[{"name":"CEG\u2010IST, Department of Engineering and Management Instituto Superior T\u00e9cnico Universidade de Lisboa  Lisboa Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos Rodrigues","family":"Vieira","sequence":"additional","affiliation":[{"name":"Department of Economics CEFAGE \u2013 Universidade de \u00c9vora  \u00c9vora Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isabel Viegas","family":"Vieira","sequence":"additional","affiliation":[{"name":"Department of Economics CEFAGE \u2013 Universidade de \u00c9vora  \u00c9vora Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,2,8]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11127-005-7165-2"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/00036840701765460"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.10.018"},{"key":"e_1_2_8_5_1","first-page":"187","volume-title":"Monetary and Fiscal Policies in EMU","author":"Buti M.","year":"2003"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2014.05.026"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2015.12.053"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.socec.2008.07.015"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iref.2014.09.010"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejpoleco.2013.03.002"},{"key":"e_1_2_8_11_1","unstructured":"Fat\u00e1s A. Mihov I. 2001.The effects of fiscal policy on consumption and employment: theory and evidence. CEPR Discussion Paper 2760 Centre for Economic Policy Research London."},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.7208\/chicago\/9780226012858.003.0009"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-23081-5_4"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2015.07.019"},{"key":"e_1_2_8_15_1","doi-asserted-by":"crossref","unstructured":"Grigoli F. 2014.A hybrid approach to the estimating the efficiency of public spending on education in emerging and developing economies. 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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. 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A simplified stochastic model for the Administraci\u00f3n Nacional de Combustibles Alcohol y Portland refinery, based on the uncertainty of the demand for ifo, is proposed for comparison with the current approach of deterministic demand. In this model, the benefits of the production process are maximized, taking decisions on the more suitable raw material, intermediate products and final blends in order to fulfill quality and demand requirements of final products. A specific case is analyzed where the maximum benefit is achieved when the most expensive crude quality is purchased, due to a lack of incentive to produce extra amounts of heavy fuel oil that must be exported at a non\u2010attractive price. Results are compared with the solution of a deterministic model with mean demand. 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This challenge is particularly complex in water systems due to the diverse and heterogeneous nature of the components requiring investment. While the infrastructure value index (IVI) is widely used to characterise assets and support investment decisions in the water sector, its application in optimisation models for generating efficient project portfolios remains unexplored. To address this research gap, this study introduces optimisation models for generating investment portfolio plans in water systems' asset management. The proposed approach includes two mixed\u2010integer linear programming (MILP) models that determine optimal solutions and an evolutionary algorithm that offers sub\u2010optimal alternative investment selection plans to provide decision\u2010makers with additional choices for balancing optimal outcomes. The primary contribution of this research is the combined utilisation of MILP and evolutionary algorithms, integrating the IVI into the decision\u2010making process. 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However, the retailer can resort to his information system to acquire more accurate disruption information than the manufacturer, and this disruption forecast information is the retailer's private information. Under this framework, we first derive the optimal outcomes of two representative categories of contract formats (i.e., the simplest but most widely used wholesale price contract, and the most sophisticated but rarely implemented menu of contracts), and then examine the impacts of the reliability of the retailer's private information about the market state (regular or disruption) on the supply chain performance. Our results demonstrate that the manufacturer's expected profit is quasi\u2010convex in the reliability (i.e., U\u2010shaped), and the retailer's expected profit is a piecewise (weakly) increasing function of the reliability. Specifically, there exists a threshold for the retailer's information reliability. Above the threshold, both manufacturer and retailer benefit from the improvement in the information reliability. This means that the manufacturer actually can profit from the exaggerated level of information asymmetry. Below the threshold, the improvement is still favorable to the retailer, but detrimental to the manufacturer due to increased information rents, and thus the manufacturer has no incentive to help the retailer to improve his forecast capability. At the threshold, the retailer's profit experiences a cliff\u2010like drop, while the manufacturer's profit achieves its minimum value. The result is applicable to both wholesale price contract and menu of contracts.<\/jats:p>","DOI":"10.1111\/itor.12317","type":"journal-article","created":{"date-parts":[[2016,6,23]],"date-time":"2016-06-23T16:41:37Z","timestamp":1466700097000},"page":"737-761","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Impacts of information reliability in a supply chain with market disruption risks"],"prefix":"10.1111","volume":"24","author":[{"given":"Jian\u2010Cai","family":"Wang","sequence":"first","affiliation":[{"name":"School of Management and Economics Beijing Institute of Technology Beijing P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaohua","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Management and Economics Beijing Institute of Technology Beijing P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao\u2010Yu","family":"Wang","sequence":"additional","affiliation":[{"name":"Research Center for Smarter Supply Chain Dongwu Business School and Soochow Think Tank Soochow University  Suzhou Jiangsu P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fujun","family":"Lai","sequence":"additional","affiliation":[{"name":"Research Center for Smarter Supply Chain Dongwu Business School and Soochow Think Tank Soochow University  Suzhou Jiangsu P.R. 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chain\u2019 environmental and social performances need to be considered. The social pillar of the supply chain is not easy to measure, and its quantification is a researcher's challenge. In addition, quantifying the social impact of a monetary unit, easily understood by decision\u2010makers, is an important step towards achieving global sustainable supply chain performance. This work intends to contribute to this challenge and develops a monetization approach for assessing supply chain's social performance, considering three main relevant social indicators: job creation, accidents and training. \u00a0These are then integrated into an optimization\u2010based decision tool that can be used to design and plan a supply chain based on an informed decision. This operation research\u2013based tool considers the economic and the social pillars independently or simultaneously, allowing the development of different analyses to reflect on the different trade\u2010offs that could be considered when designing and planning sustainable supply chains. A case study is utilized to demonstrate the tool's applicability, and a number of conclusions and insights are provided on how to strengthen supply chain sustainability.<\/jats:p>","DOI":"10.1111\/itor.13419","type":"journal-article","created":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T10:33:20Z","timestamp":1703759600000},"page":"802-838","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Assessing social performance in supply chain design and planning through a monetization approach"],"prefix":"10.1111","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7704-9927","authenticated-orcid":false,"given":"C\u00e1tia","family":"da Silva","sequence":"first","affiliation":[{"name":"CEGIST, Instituto Superior T\u00e9cnico University of Lisbon  Lisbon Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana","family":"Barbosa\u2010P\u00f3voa","sequence":"additional","affiliation":[{"name":"CEGIST, Instituto Superior T\u00e9cnico University of Lisbon  Lisbon Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana","family":"Carvalho","sequence":"additional","affiliation":[{"name":"CEGIST, Instituto Superior T\u00e9cnico University of Lisbon  Lisbon Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,12,28]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2014.08.005"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1108\/MBE\u201011\u20102014\u20100041"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1108\/MBE\u201011\u20102014\u20100041"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.EJOR.2017.10.036"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2021.1957506"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1108\/SCM\u201006\u20102015\u20100216"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11205\u2010011\u20109906\u20106"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1065\/lca2006.01.233"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.117718"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2010.07.012"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/eet.1604"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.13124"},{"key":"e_1_2_9_14_1","unstructured":"European Commission. 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We first formulate an integrated model to establish a theoretical benchmark for performance of the entire supply chain. It is a mixed integer programming model that involves harvesting, bucking, transportation, production, and sales decisions for both tactical and strategic planning levels. We then present two sequential approaches S\u2010A and S\u2010B where the coordination is done through internal pricing. S\u2010A is the approach currently used in practice where harvesting in the forest is the main driver of the supply chain activities and internal pricing is introduced to control bucking decision in a separate stage. In contrast, S\u2010B takes downstream demand information into consideration and internal pricing directly influences harvesting decision in the first stage. In order to find the appropriate setting of internal pricing that leads to the system optimum, we suggest two heuristics H\u2010I and H\u2010II. 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There are 205 municipalities around the world that implemented their own BRT systems. Istanbul, having the sixth\u2010most congested traffic in the world, built its own BRT system (Metrob\u00fcs), which serves more than 830,000 people (6.45% of all public transportation usage) in a day with 6254 trips covered by its current fleet of 496 vehicles. In this study, we model the vehicle scheduling problem of Metrob\u00fcs as a multiple depot vehicle scheduling problem. The model aims to minimize the fleet size and total deadhead kilometers while covering all timetabled trips. We propose a new heuristic, trips merger (TM), to solve the model and show that there exists cost reduction opportunities in terms of both fleet size and deadhead kilometers. The proposed heuristic is a member of the state\u2010space reduction heuristics family, which first reduces the problem size, then solves the reduced problem. 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To maintain or improve the quality level, sellers usually invest in functionality, aesthetics, safety or any other attributes. In addition to quality, price also plays a critical role in influencing the purchase choice of consumers and the profit of a firm. Most inventory management models for perishables are restricted to physical quantity deterioration and do not address joint dynamic pricing and quality investment strategies. This paper studies an optimal replenishment model with dynamic pricing and quality investment for perishable products, where the quality and physical quantity deteriorate simultaneously. The demand rate is decreasing in sales price and increasing in quality level. A dynamic optimization model is proposed to maximize the total profit per unit time and solved on the basis of Pontryagin's maximum principle. The optimal joint dynamic pricing, quality investment, and replenishment policy is obtained. 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increasing attention in the last years: patient admission and patient\u2010to\u2010room assignment problems. These two problems are often complicated by some patients, which may have fluctuations in length of stay (LOS). We propose an optimization model that plans patient admissions and patient stays considering fluctuations in LOS and does not allow overcrowded rooms, as typically required in real\u2010world cases. We develop an efficient matheuristic approach based on large neighborhood search and fix and optimize heuristic. We tested our optimization model and some variations of the objective function on benchmark instances from the literature. The computational results indicate the effectiveness of the proposed methods in improving the quality of care offered to the patients. Furthermore, the proposed approach can provide a useful support to decision makers for patient flow management and avoid disruptions in access to care due to bed\u00a0shortages.<\/jats:p>","DOI":"10.1111\/itor.13272","type":"journal-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T08:33:09Z","timestamp":1677054789000},"page":"53-87","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Patient admission scheduling problems with uncertain length of stay: optimization models and an efficient matheuristic approach"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1744-2166","authenticated-orcid":false,"given":"Rosita","family":"Guido","sequence":"first","affiliation":[{"name":"de\u2010Health Lab of the Laboratory of Innovation and Management Engineering Department of Mechanical, Energy and Management Engineering Ponte Pietro Bucci, cubo 41C, University of Calabria  Arcavacata di Rende (CS) 87036 Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,2,22]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10729-011-9163-x"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1515\/9781400831050"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1030.0065"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10732-011-9192-0"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2014.11.015"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.02.041"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6947-14-26"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12947"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2011.01.007"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2012.09.001"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12298"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2009.09.001"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00291-005-0207-9"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.13127"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2014.12.006"},{"key":"e_1_2_8_17_1","doi-asserted-by":"crossref","unstructured":"Guido R. 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Sforza A.(eds)Optimization and Decision Science: ODS Virtual Conference November 19 2020 Vol.7.Springer International Cham pp.79\u201390.","DOI":"10.1007\/978-3-030-86841-3_7"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.02.007"},{"key":"e_1_2_8_19_1","series-title":"Springer Proceedings in Mathematics and Statistics","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/978-3-319-67308-0_14","volume-title":"Optimization and Decision Science: Methodologies and Applications","author":"Guido R.","year":"2017"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2009.08.022"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2014.1317"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.04.002"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12931"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2007.07.035"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.13146"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2016.10.002"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-70277-9"},{"key":"e_1_2_8_28_1","volume-title":"Matheuristics: Hybridizing Metaheuristics and Mathematical Programming","author":"Maniezzo V.","year":"2009"},{"key":"e_1_2_8_29_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.13058"},{"key":"e_1_2_8_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.03.014"},{"key":"e_1_2_8_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2016.11.043"},{"key":"e_1_2_8_32_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12971"},{"key":"e_1_2_8_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10729-014-9288-9"},{"key":"e_1_2_8_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-1665-5_13"},{"key":"e_1_2_8_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2013.10.050"},{"key":"e_1_2_8_36_1","doi-asserted-by":"crossref","unstructured":"Roberts D. 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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. If, on the other hand, <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12087-math-0002.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12087:itor12087-math-0002\"\/>, we develop a polynomial time approximation algorithm with a worst\u2010case performance ratio of <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12087-math-0003.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12087:itor12087-math-0003\"\/> that improves the bound existing for general open\u2010shops. Next, in the case of <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12087-math-0004.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12087:itor12087-math-0004\"\/>, we take into account the problem under consideration as a master problem and convert it into a simpler secondary approximation problem. Furthermore, we formulate both the master and secondary problems, and compare their complexity sizes. We finally present another polynomial time algorithm that provides optimal solution for a special case of the problem where <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12087-math-0005.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12087:itor12087-math-0005\"\/>.<\/jats:p>","DOI":"10.1111\/itor.12087","type":"journal-article","created":{"date-parts":[[2014,4,18]],"date-time":"2014-04-18T14:18:37Z","timestamp":1397830717000},"page":"1031-1044","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Polynomial time approximation algorithms for proportionate open\u2010shop scheduling"],"prefix":"10.1111","volume":"21","author":[{"given":"B.","family":"Naderi","sequence":"first","affiliation":[{"name":"Faculty of Engineering Department of Industrial Engineering University of Kharazmi  Karaj Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Zandieh","sequence":"additional","affiliation":[{"name":"Faculty of Management and Accounting Department of Industrial Management Shahid Beheshti University  Tehran Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Yazdani","sequence":"additional","affiliation":[{"name":"Faculty of Industrial and Mechanical Engineering Department of Industrial Engineering Islamic Azad University  Qazvin Branch Qazvin Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2014,4,17]]},"reference":[{"key":"e_1_2_6_2_1","first-page":"8","article-title":"An approximation polynomial time algorithm for one scheduling problem","volume":"28","author":"Aksyonov V.A.","year":"1988","journal-title":"Upravlyaemye Sistemy"},{"key":"e_1_2_6_3_1","first-page":"177","article-title":"Nearly optimum solution of multi\u2010machine scheduling 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The opportunity to move emergency patients who have been selected for admission out of the emergency department (ED) is linked to the ability of the hospital network to actually admit them. The latter is, in turn, correlated to the availability of inpatient beds in the hospital wards, which are shared resources between elective and emergency patients. Due to the overcrowding of EDs and the growing concern regarding reducing the number of inpatient ward beds, it is thus becoming crucial to improve the bed capacity planning and the management of emergency and elective patient admissions. In this direction, greater coordination and communication among the different healthcare providers involved in the pathway flows is required, and the so\u2010called \u201cbed management\u201d function plays a key role. This study starts with collaboration with the local health government (LHG) of the Liguria region aimed at studying the hospital bed management function. 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Subsequent debates on the topic have captured the interest of many simulation professionals and researchers. This study lends credence to the discourse with evidence. In January 2020, a global health crisis named coronavirus disease (COVID\u201019) occurred, infecting and killing millions of people globally, leading to community lockdowns and travel restrictions, and bringing the world to a standstill. Scientists scrambled for quick, practical solutions to stem the tide. Operational research (OR) and management science (MS) techniques, including modeling and simulation, provide effective methods to make COVID\u201019 infection forecasts, assign\/optimize intensive care unit beds, initiate healthcare management\/control strategies, and decision\u2010making. The global pandemic problems offer an opportunity to evaluate the discourse on DES's continuous relevance and potency as an OR\/MS technique. Utilizing bibliometric performance evaluation and text analytics of publications addressing various COVID\u201019 pandemic problems, the results show an extensive use, relevance, and impact of the DES technique across multidisciplinary domains, including medical\/healthcare, social and behavioral sciences, business, molecular biosciences, and more. The intellectual structure highlights strong multidisciplinary collaboration among sources in decision sciences, healthcare, natural, behavioral, and social sciences. The social network analysis of the publications shows the contributions and collaborations among authors, institutions, and countries. The study demonstrates that DES is still alive and robust, notwithstanding the hype about ABS.<\/jats:p>","DOI":"10.1111\/itor.13418","type":"journal-article","created":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T18:55:54Z","timestamp":1702666554000},"page":"2069-2092","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Discrete\u2010event simulation is still alive and strong: evidence from bibliometric performance evaluation of research during COVID\u201019 global health pandemic"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3703-5704","authenticated-orcid":false,"given":"Ikpe Justice","family":"Akpan","sequence":"first","affiliation":[{"name":"Department of Information Systems and Business Analytics Kent State University, Tuscarawas Campus  330 University Dr. NE New Philadelphia OH 44663 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Murali","family":"Shanker","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Business Analytics Kent State University  Kent OH 44242 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Onyebuchi Felix","family":"Offodile","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Business Analytics Kent State University  Kent OH 44242 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,12,15]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.matcom.2021.05.016"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2021.104665"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1475-3995.2011.00814.x"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-6486.2006.00625.x"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/10494820.2020.1813180"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1142\/S1793962321500574"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1475-3995.2008.00655.x"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12952"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/08276331.2020.1786229"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1177\/0037549711423734"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2014.04.002"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.2196\/28975"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1080\/20479700.2023.2235786"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.13321"},{"key":"e_1_2_6_16_1","first-page":"210","article-title":"An agent\u2010based simulation of the SIRD model of COVID\u201019 spread","volume":"14","author":"Alsaeed N.I.","year":"2020","journal-title":"International Journal of Biology and Biomedical Engineering"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12852"},{"key":"e_1_2_6_18_1","doi-asserted-by":"crossref","unstructured":"An T. 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Still, it involves complex issues such as multi\u2010trip operations, energy estimation, and battery recharge planning. A sound drone delivery problem entails an optimal drone deployment plan with routing details at the lowest possible cost. To this end, this study focuses on formulating a delivery problem that involves multi\u2010trip drone routing, energy optimization, and travel time optimization problems where energy consumption by drones is modeled as a non\u2010linear function. We develop a mixed integer non\u2010linear programming model as an integrated optimization model. This model aims to: (a) maximize revenue by meeting demand completely without leaving idle drones, (b) optimize energy use by drones, and (c) minimize the required drone fleet size for an optimal plan. The proposed model is solved using the Gurobi Solver, which employs data supplied by a well\u2010known e\u2010commerce firm. 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In order to avoid excessive time wasted in waiting for lock service, it is suggested that some types of cargoes should be unloaded at the quays and transported by road\/train to their destinations, which is called water\u2013land transshipment. By this means, the ships are divided into two groups that either pass the lock or are transshipped at the quays, engendering the lock and water\u2013land transshipment co\u2010scheduling (LWTC) problem. This paper focuses on the LWTC, where the roll\u2010on roll\u2010off ships, passenger ships, and general cargo ships that can be transshipped and other ships that can only pass the lock are considered in a lock\u2010quay co\u2010scheduling system. The LWTC problem is decomposed into an outer\u2010layer main 0\u20101 optimization problem and two inner\u2010layer subproblems: lock scheduling and berth allocation. A multiobjective optimization model is proposed for the LWTC problem based on its two\u2010layer structure. To solve the LWTC problem, a hybrid heuristic method is proposed, where a modified binary nondominated sorting genetic algorithm II is proposed to solve the main problem, and the two subproblems are solved by specific heuristics. The proposed model and hybrid method are tested on instances extracted from historical data of traffic at Three Gorges Dam, the results of which demonstrate the feasibility of the model and the superiority of the proposed hybrid heuristic method over other comparisons.<\/jats:p>","DOI":"10.1111\/itor.12720","type":"journal-article","created":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T12:28:41Z","timestamp":1568896121000},"page":"1501-1525","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Coordinated optimized scheduling of locks and transshipment in inland waterway transportation using binary NSGA\u2010II"],"prefix":"10.1111","volume":"27","author":[{"given":"Bin","family":"Ji","sequence":"first","affiliation":[{"name":"School of Hydropower and Information Engineering Huazhong University of Science and Technology  Wuhan 430074 China"},{"name":"School of Traffic &amp; Transportation Engineering Central South University  Changsha 410075 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongjun","family":"Sun","sequence":"additional","affiliation":[{"name":"Shanghai Marine Equipment Research Institute  Shanghai 200031 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0939-2704","authenticated-orcid":false,"given":"Xiaohui","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Hydropower and Information Engineering Huazhong University of Science and Technology  Wuhan 430074 China"},{"name":"State Key Laboratory of Operation and Control of Renewable Energy &amp; Storage Systems China Electric Power Research Institute  Beijing 100192 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanbin","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Engineering Wuhan University of Technology  Wuhan 430070 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaorong","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Operation and Control of Renewable Energy &amp; Storage Systems China Electric Power Research Institute  Beijing 100192 China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,9,19]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12547"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2014.12.030"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.12.101"},{"key":"e_1_2_8_5_1","unstructured":"Campbell J.F. 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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. 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Numerical examples are presented to demonstrate the effectiveness of lot streaming in hybrid flowshops, the performance of the proposed simulated annealing algorithm, and the improvements achieved using parallel computation.<\/jats:p>","DOI":"10.1111\/itor.12105","type":"journal-article","created":{"date-parts":[[2014,6,24]],"date-time":"2014-06-24T21:49:39Z","timestamp":1403646579000},"page":"669-691","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["A simulated annealing with multiple\u2010search paths and parallel computation for a comprehensive flowshop scheduling problem"],"prefix":"10.1111","volume":"22","author":[{"given":"Fantahun M.","family":"Defersha","sequence":"first","affiliation":[{"name":"School of Engineering University of Guelph  50 Stone Road East Guelph, ON N1G 2W1 Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2014,6,24]]},"reference":[{"key":"e_1_2_8_2_1","first-page":"25","volume-title":"Simulated Annealing: Parallelization Techniques","author":"Azencott R.","year":"1992"},{"key":"e_1_2_8_3_1","first-page":"1","volume-title":"Simulated Annealing: Parallelization Techniques","author":"Azencott R.","year":"1992"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(03)00197-7"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02099687"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0305-0483(93)90024-F"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(03)00434-X"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2602016"},{"key":"e_1_2_8_9_1","volume-title":"Time\u2010Based Competition","author":"Blackburn J.","year":"1991"},{"key":"e_1_2_8_10_1","volume-title":"Time Based Manufacturing","author":"Bockerstette J.","year":"1993"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-5273(99)00048-1"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/07408170490245487"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207540412331325396"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(96)00091-4"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1137\/0326084"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(03)00159-X"},{"key":"e_1_2_8_17_1","doi-asserted-by":"crossref","unstructured":"Czech A. 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Although the operative context is quite similar to that of the classical operating room (OR) literature, to the best of our knowledge management problems arising in the IR operative context never appeared in the healthcare management literature. This is even more true for studies that combine the OR approach with automatic extraction of information from real hospital health record data as in the present study. Two specific features characterise our case study with respect to the traditional OR literature: due to the Italian legislation, the anaesthetist (usually in a very limited number) must be present for the entire duration of the procedure (), and the IR does not have its own ward but receives inpatients from different wards (). The aim of this paper is to introduce a novel approach to determine a robust solution for our case study problem addressing both features  and . Our approach is based on the interplay between optimisation and predictive process monitoring (PPM) models. The obtained results show that the proposed approach produces schedules that achieve higher usage rate, lower overtime and more patients operated on than the original schedule. 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Such portfolios are straightforwardly profitable because they include a small number of assets whose prices not only oscillate predictably around a long\u2010term mean but also possess enough volatility. Roughly speaking, sparsity minimizes trading costs, volatility provides arbitrage opportunities, and mean\u2010reversion property equips investors with ideal investment strategies. Finding such appealing portfolios can be formulated as a nonconvex quadratic optimization problem with an additional sparsity constraint. To the best of our knowledge, there is no method in the literature that directly solves this problem with its solution achieving favorable theoretical properties. In this paper, we develop an efficient two\u2010stage algorithm for solving this problem which, in the worst case, provably obtains a stationary point and further, demonstrates numerical efficiency. In the first stage of our algorithm, we apply a tailored penalty decomposition method for finding a stationary point of this nonconvex problem. For a fixed penalty parameter, the block coordinate descent method is utilized to find a stationary point of the associated penalty subproblem. In the second stage, we improve the result from the first stage via a greedy scheme that solves restricted nonconvex quadratically constrained quadratic programs (QCQPs). We show that the optimal value of such a QCQP can be obtained by solving their semidefinite relaxations. Numerical experiments on S&amp;P 500 are conducted to demonstrate the efficiency of the proposed\u00a0algorithm.<\/jats:p>","DOI":"10.1111\/itor.13123","type":"journal-article","created":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T12:14:17Z","timestamp":1644236057000},"page":"2415-2435","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A penalty decomposition algorithm with greedy improvement for mean\u2010reverting portfolios with sparsity and volatility constraints"],"prefix":"10.1111","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4518-5857","authenticated-orcid":false,"given":"Ahmad","family":"Mousavi","sequence":"first","affiliation":[{"name":"Institute for Mathematics and its Applications University of Minnesota Minneapolis MN 55455 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinglai","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics University of Maryland Baltimore County Baltimore MD 21250 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,2,7]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-009-0304-7"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1137\/07070601X"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02574037"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/64.2.355"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12976"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0904287106"},{"key":"e_1_2_8_9_1","first-page":"1","article-title":"Why small portfolios are preferable and how to choose them","volume":"5","author":"Cesarone F.","year":"2018","journal-title":"Journal of Financial Perspectives"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-018-0049-4"},{"key":"e_1_2_8_11_1","unstructured":"Cuturi M. d'Aspremont A. 2013.Mean reversion with a variance threshold. 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As it has been seen that the changing rates of inflation do not just have an effect on the ordered quantity but they also stimulate the demand for products, so this paper considers the combined effect of inflation, deterioration, imperfect quality and \u2018<jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor849-math-0001.png\" xlink:title=\"urn:x-wiley:09696016:itor849:equation:itor849-math-0001\"\/>\u2019 trade credit policy on the economic ordering policy using a discounted cash flow (DCF) approach. In the study, mathematical models are derived under two different circumstances, i.e., Case I: When the discount offered by the supplier with a condition of making the payment by a specified period, <jats:italic>M<\/jats:italic><jats:sub>1<\/jats:sub> is accepted; and Case II: Discount is not taken and instead the payment is made by the end of the full credit period <jats:italic>M<\/jats:italic> (<jats:italic>M<\/jats:italic> &gt; <jats:italic>M<\/jats:italic><jats:sub>1<\/jats:sub>). Finally, a numerical example demonstrating the applicability of the proposed model has been included.<\/jats:p>","DOI":"10.1111\/j.1475-3995.2012.00849.x","type":"journal-article","created":{"date-parts":[[2012,5,4]],"date-time":"2012-05-04T13:21:35Z","timestamp":1336137695000},"page":"863-889","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["The effect of inflation\u2010induced demand and trade credit on ordering policy of exponentially deteriorating and imperfect quality items"],"prefix":"10.1111","volume":"19","author":[{"given":"Divya","family":"Jain","sequence":"first","affiliation":[{"name":"Faculty of Mathematical Sciences Department of Operational Research University of Delhi  Delhi 110007 India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kishor Kumar","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"Faculty of Mathematical Sciences Department of Operational Research 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This is due to technological development (fiber optics for telecommunication) and new ways of usage (Internet for computer networks). Optimal design of such networks requires formulation and solution of new optimization models. In this paper, we formulate several fixed charge network design models, capacitated or uncapacitated, directed or undirected, possibly with staircase costs, and survivability requirements. We propose a common solution approach for all these problems, based on Lagrangean relaxation, subgradient optimization and primal heuristics, which together form a Lagrangean heuristic. The Lagrangean heuristic can be incorporated into a branch\u2010and\u2010bound framework, if the exact optimal solution must be found. 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By developing a multi\u2010stage game model, we study the blockchain adoption strategy and the information\u2010sharing strategy considering information transmission between the 3PL and the supplier and analyze the interaction of these strategies. We find that under the case of moderate blockchain cost, the retailer could encourage the supplier to adopt blockchain by sharing information strategically. In that case, the retailer would actively share with the supplier and the 3PL for fresh produce with low freshness sensitivity and serious consumer distrust. Otherwise, due to the dominant impact of information transmission, the retailer has to keep private information if consumers are less concerned about freshness, while it has to share information if consumers are more concerned about freshness.<\/jats:p>","DOI":"10.1111\/itor.13397","type":"journal-article","created":{"date-parts":[[2023,11,5]],"date-time":"2023-11-05T14:34:35Z","timestamp":1699194875000},"page":"4174-4198","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["To be traceable and responsive: blockchain adoption and information sharing in a fresh produce supply chain"],"prefix":"10.1111","volume":"31","author":[{"given":"Songxuan","family":"Ma","sequence":"first","affiliation":[{"name":"School of Economics and Business Administration Chongqing University  Chongqing 400044 P. R. China"},{"name":"Chongqing Key Laboratory of Logistics Chongqing University  Chongqing 400044 P. R. 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We first derive the equilibrium unit greenness level, pricing decisions, and the resulting economic and aggregate environmental performances. Then, we compare the effects of the two subsidy policies for the MIGP and DIGP with and without a total subsidy budget constraint. The main results are as follows: (1) We identify the congruence regions (conflict regions) within which one subsidy policy dominates the other according to all (some) criteria. 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Our paper aims to rationalise these choices by analysing the trade\u2010off between attractiveness (the number of games played by teams from the same geographic zone) and fairness (the departure of the draw mechanism from a uniform distribution). A parametric optimisation model is formulated and applied to the 2018 and 2022 FIFA World Cup draws. A flaw of the draw procedure is identified: the pre\u2010assignment of the host to a group unnecessarily increases the distortions. All Pareto efficient sets of draw constraints are determined via simulations. 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Given a set of nodes and the distances between them, it consists in finding the shortest route that visits each node exactly once and returns to the first. Nevertheless, more flexible and applicable formulations of this problem exist and can be considered. The Steiner TSP (STSP) is a variant of the TSP that assumes that only a given subset of nodes must be visited by the shortest route, eventually visiting some nodes and edges more than once. In this paper, we adapt some classical TSP constructive heuristics and neighborhood structures to the STSP variant. In particular, we propose a reduced 2\u2010opt neighborhood and we show that it leads to better results in smaller computation times. Computational results with an implementation of a GRASP heuristic using path\u2010relinking and restarts are reported. In addition, ten large test instances are generated. 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Many parts of <jats:styled-content style=\"fixed-case\">C<\/jats:styled-content>hile are sparsely populated and there are currently over 4,000 rural schools (almost 38% of all schools in <jats:styled-content style=\"fixed-case\">C<\/jats:styled-content>hile) educating 9.5% of the students in the country. Many of the rural schools are small with only one teacher responsible for instruction of all local students (multigrade schools). The geographical distribution of the rural schools has not been coordinated and this has resulted in unequal utilization of existing schools and some unreasonably long travel distances by students. Good management of the rural schools is fundamental to meeting <jats:styled-content style=\"fixed-case\">C<\/jats:styled-content>hile's goal of providing quality education to its citizens. Seeking to improve the situation, the <jats:styled-content style=\"fixed-case\">M<\/jats:styled-content>inistry of <jats:styled-content style=\"fixed-case\">E<\/jats:styled-content>ducation ordered a study of the optimal location and size of rural schools with the general goals of reducing the number of lesser quality multigrade schools and reducing student travel distances while maintaining reasonable costs. This paper presents results of this study obtained using an integer linear program that has been embedded in a geographical information system. We present computational results for the entire country. Recommendations include where to open new rural schools as well as where to expand, reduce, close, or leave unchanged existing schools. We show how recommendations are sensitive to key parameters such as the cost of transportation.<\/jats:p>","DOI":"10.1111\/j.1475-3995.2012.00843.x","type":"journal-article","created":{"date-parts":[[2012,4,10]],"date-time":"2012-04-10T08:47:27Z","timestamp":1334047647000},"page":"695-710","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Optimizing location and size of rural schools in Chile"],"prefix":"10.1111","volume":"19","author":[{"given":"Fernando","family":"Araya","sequence":"first","affiliation":[{"name":"Graduate program College of Physical Sciences and Mathematics University of Chile  Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Dell","sequence":"additional","affiliation":[{"name":"Operations Research Department Naval Postgraduate School  Monterey CA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro","family":"Donoso","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering College of Physical Sciences and Mathematics University of Chile  Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vladimir","family":"Marianov","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering Pontificia Universidad Cat\u00f3lica de Chile, Av. Vicu\u00f1a Mackenna 4860, Santiago  Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francisco","family":"Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering College of Physical Sciences and Mathematics University of Chile  Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9s","family":"Weintraub","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering College of Physical Sciences and Mathematics University of Chile  Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2012,4,10]]},"reference":[{"key":"e_1_2_7_2_1","unstructured":"Aguilera M. 2005.Las nuevas proyecciones de poblaci\u00f3n Available athttp:\/\/www.ine.cl\/canales\/sala_prensa\/archivo_documentos\/enfoques\/2005\/files\/seminario0905\/inauguracion\/maximoaguilera.pps(accessed 25 September 2011)."},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0038-0121(99)00014-2"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.12.3.253"},{"issue":"1","key":"e_1_2_7_5_1","first-page":"133","article-title":"Localiza\u00e7\u00e3o de escolas do ensino fundamental com modelos capacitado e n\u00e3o\u2010capacitado: caso de vit\u00f3ria\/es","volume":"24","author":"Broseghini F.","year":"2003","journal-title":"Pesquisa Operacional"},{"key":"e_1_2_7_6_1","unstructured":"Chilean Ministry of Education 2007.Anuario Estad\u00edstico de los a\u00f1os 2006 y 2007. 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Thesis Disertation Ingenier\u00eda Civil Industrial Universidad de Chile Santiago de Chile."}],"container-title":["International Transactions in Operational Research"],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fj.1475-3995.2012.00843.x","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/j.1475-3995.2012.00843.x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T13:55:58Z","timestamp":1698674158000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/j.1475-3995.2012.00843.x"}},"issued":{"date-parts":[[2012,4,10]]},"references-count":25,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2012,9]]}},"alternative-id":["10.1111\/j.1475-3995.2012.00843.x"],"URL":"https:\/\/doi.org\/10.1111\/j.1475-3995.2012.00843.x","archive":["Portico"],"ISSN":["0969-6016","1475-3995"],"issn-type":[{"value":"0969-6016","type":"print"},{"value":"1475-3995","type":"electronic"}],"published":{"date-parts":[[2012,4,10]]},"assertion":[{"value":"2010-12-27","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2011-11-28","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2012-04-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T14:36:15Z","timestamp":1759847775618},"reference-count":18,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2006,8,24]],"date-time":"2006-08-24T00:00:00Z","timestamp":1156377600000},"content-version":"vor","delay-in-days":2122,"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":[[2000,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Despite the popularity of the \u201clearning\u201d curve, it should be called the \u201cforecasting\u201d curve. Given an industrial process, the traditional learning curve forecasts how costs are expected to decline (or other performance measures improve) in the future. Forecasting is certainly very useful. Nevertheless, the previous literature is notably mute on how the improvement or learning occurs. Without that information about how the process operates, the traditional learning curve cannot improve the rate of learning. This paper transforms the curve so that it not merely forecasts but rather actively creates the learning and knowledge. By extending work of the authors (Zangwill and Kantor, 1998), this paper constructs a new theoretical framework for learning and making improvements based upon learning cycles. This approach allows what is learned in one period to be intelligently applied to the next, improving the rate of learning right as production is occurring. Previous approaches could not do this. Because it should quickly increase the rate of learning, this approach might have important industrial applications.<\/jats:p>","DOI":"10.1111\/j.1475-3995.2000.tb00219.x","type":"journal-article","created":{"date-parts":[[2006,8,29]],"date-time":"2006-08-29T21:22:37Z","timestamp":1156886557000},"page":"595-607","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["The learning curve: a new perspective"],"prefix":"10.1111","volume":"7","author":[{"given":"W.I.","family":"Zangwill","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.B.","family":"Kantor","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":"Abernathy William J. Wayne Kenneth 1974.Limits of the learning curve. Harvard Business Review No. 74501 (Sept.\u2010Oct.)109\u2013118."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.37.3.267"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2044-8309.1993.tb00984.x"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.36.2.140"},{"key":"e_1_2_1_6_1","volume-title":"Noise and learning in semiconductor manufacturing","author":"Roger Bohn","year":"1991"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1177\/002224298304700205"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.2307\/258437"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0263-7863(97)00053-7"},{"key":"e_1_2_1_10_1","unstructured":"Ghemawat Pankahj 1985.Building strategy on the experience curve. Harvard Business Review No. 85206 (March\u2010April)2\u20138."},{"key":"e_1_2_1_11_1","unstructured":"Lapre Michael A. Mukherjee Amit Shankar vanWassenhove Luk N. 1998.Behind the learning curve: linking learning activities to waste reduction INSEAD. Working paper 98\/66\/TM (CIMSO 5)."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(97)00033-7"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-08539-4_3"},{"key":"e_1_2_1_14_1","volume-title":"Learning by Doing in Markets, Firms, and Countries","author":"Kazuhiro Mishina","year":"1987"},{"key":"e_1_2_1_15_1","volume-title":"Learning and process improvement during production ramp\u2010up","author":"Terwiesch Christian","year":"1998"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0272-6963(97)00017-X"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.2514\/8.155"},{"key":"e_1_2_1_18_1","volume-title":"operations strategy and management: class notes","author":"Zangwill Willard L","year":"1999"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.44.7.910"}],"container-title":["International Transactions in Operational 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xlink:href=\"graphic\/itor13066-math-0003.png\" xlink:title=\"urn:x-wiley:09696016:media:itor13066:itor13066-math-0003\" \/>, the maximum weighted induced forest problem (MWIF) consists of encountering a maximum weighted subset <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor13066-math-0004.png\" xlink:title=\"urn:x-wiley:09696016:media:itor13066:itor13066-math-0004\" \/> of the vertices such that <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor13066-math-0005.png\" xlink:title=\"urn:x-wiley:09696016:media:itor13066:itor13066-math-0005\" \/> induces a forest. This NP\u2010hard problem is known to be equivalent to the minimum weighted feedback vertex set problem, which has applicability in a variety of domains. The closely related maximum weighted induced tree problem (MWIT), on the other hand, requires that the subset <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor13066-math-0006.png\" xlink:title=\"urn:x-wiley:09696016:media:itor13066:itor13066-math-0006\" \/> induces a tree. We propose two new integer programming formulations with an exponential number of constraints and branch\u2010and\u2010cut procedures for MWIF. Computational experiments using benchmark instances are performed comparing several formulations, including the newly proposed approaches and those available in the literature, when solved by a standard commercial mixed integer programming solver. More specifically, five formulations are compared, two compact ones (i.e., with a polynomial number of variables and constraints) and the three others with an exponential number of constraints. The experiments show that a new formulation for the problem based on directed cutset inequalities for eliminating cycles (DCUT) offers stronger linear relaxation bounds earlier in the search process. The results also indicate that the other new formulation, denoted tree with cycle elimination (TCYC), outperforms those available in the literature when it comes to the average times for proving optimality for the benchmark instances with up to 81 vertices. Additionally, this formulation can achieve much lower average times for solving the larger random instances that can be optimally solved. Furthermore, we show how the formulations for MWIF can be easily extended for MWIT. Such extension allowed us to analyze the difference between the optimal solution values of the two problems when considering different classes of\u00a0graphs.<\/jats:p>","DOI":"10.1111\/itor.13066","type":"journal-article","created":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T03:40:03Z","timestamp":1635738003000},"page":"2263-2287","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Maximum weighted induced forests and trees: new formulations and a computational comparative review"],"prefix":"10.1111","volume":"29","author":[{"given":"Rafael A.","family":"Melo","sequence":"first","affiliation":[{"name":"Institute of Computing Universidade Federal da Bahia  Salvador BA 40170\u2010115 Brazil"}],"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":[[2021,10,31]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dam.2017.01.029"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38189-8_11"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1137\/S0895480196305124"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/S0097539796305109"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0118(199705)25:1<59::AID-JGT4>3.0.CO;2-H"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-53262-8_8"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-014-1152-7"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-218X(99)00180-8"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10878-018-0279-5"},{"key":"e_1_2_8_11_1","unstructured":"Carrabs F. 2015. Feedback vertex set instances. 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Although mathematical models for resource problems have been developed, their use is not widespread, particularly in developing countries were toll systems are manually operated. The main objective of TollSim is to start building an infrastructure and infostructure to be used in a decision support system for management of traffic related issues in a technologically excluded region. 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The lower Mexican wages may offset the additional transportation costs; capital\u2010intensive operations are preferably still done in the United States or Canada. With a consumer base focused in the United States, can an organisation leverage the benefits of NAFTA to their individual advantage? This paper aims to show how, through a real\u2010world example, overall supply chain costs (total system costs of inventory, transportation and facilities) can be minimised under those circumstances.<\/jats:p><jats:p>We formulate and solve a mixed\u2010integer programming model to find the optimal supply chain for Tectrol Inc., a manufacturer of power supplies. In the first case, components produced in Canada undergo final assembly in the United States, followed by distribution there. 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An inter\u2010VM (where <jats:italic>VM<\/jats:italic> is virtual machine) attack, also known as cross\u2010VM attack, is one threat through which cloud\u2010hosted confidential data could be leaked to unintended third parties. An inter\u2010VM attack exploits vulnerabilities between co\u2010resident guest <jats:italic>VMs<\/jats:italic> that share the same cloud infrastructure. In an attempt to stop such an attack, this paper uses the principles of logical analysis to model a solution that provides physical separation of <jats:italic>VMs<\/jats:italic> belonging to conflicting tenants based on their levels of conflict. The derived mathematical model is founded on scientific principles and implemented using four conflict\u2010aware <jats:italic>VM<\/jats:italic> placement algorithms. The resultant algorithms consider a tenant's risk appetite and cost implications. The model offers guidance to <jats:italic>VM<\/jats:italic> placement and is validated using a proof of concept. A cloud simulation tool was used to test and evaluate the effectiveness and efficiency of the model. The findings reflect that the introduction of the proposed model introduced a time lag in the time it took to place <jats:italic>VM<\/jats:italic> instances. On top of this, it was also discovered that the number and size of the <jats:italic>VM<\/jats:italic> instances has an effect on the <jats:italic>VM<\/jats:italic> placement performance. 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In this study, we integrate stochastic multicriteria acceptability analysis (SMAA) technique and data envelopment analysis (DEA) methodology and propose a model, named \u201ctwo\u2010stage SMAA\u2010DEA,\u201d for efficiency evaluation and ranking of two\u2010stage supply chains (e.g., supplier\u2013manufacturer) with stochastic criteria values. Two stochastic efficiency measures are defined for supply chain efficiency evaluation in the model. The maximum efficiency is the best efficiency score based on the optimistic criterion. The average efficiency is the expected efficiency score based on the average criterion. In addition, the model provides rank acceptability and holistic acceptability index for the supply chain ranking. The developed two\u2010stage SMAA\u2010DEA model has several advantages. First, it extends two\u2010stage DEA models to handle uncertain or imprecise inputs, intermediate measures, and outputs using stochastic distributions. Second, it allows for variable process weights and does not need any prior preference information on processes. Our study extends network DEA to address uncertain or stochastic measures, and the model can be considered as a multicriteria decision\u2010making method with a two\u2010stage additive DEA value function. 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The aim of IMRT is to eradicate all cancerous cells by irradiating the tumor with a prescribed dose while simultaneously sparing, as much as possible, the neighboring tissues and organs. The optimal choice of beam irradiation directions\u2014beam angle optimization (BAO)\u2014can play an important role in IMRT treatment planning by improving organ sparing and tumor coverage, increasing the treatment plan quality. Typically, the BAO search is guided by the optimal value of the fluence map optimization (FMO)\u2014the problem of obtaining the most appropriate radiation intensities for each beam direction. In this paper, a new score to guide the BAO search is introduced and embedded in a parallel multistart derivative\u2010free optimization framework that is detailed for the extremely challenging continuous BAO problem. 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Market\u2010chasing pricing policy aims at minimizing the market share loss, while profit\u2010chasing pricing policy aims to minimize the profit loss under supply disruption. Stackelberg games are established to analyze the equilibrium pricing behaviors with both pricing policies under supply disruption. It is shown that the effectiveness of market\u2010chasing pricing policy depends on the competitive power of the manufacturer and competitor, while profit\u2010chasing pricing policy is always helpful for the manufacturer to reduce her profit loss under supply disruption. Furthermore, to minimize market share loss, firms need to lower both the price of the disrupted product and the undisrupted product. 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In this paper, we consider that a capital\u2010constrained manufacturer can borrow money from either a bank (bank credit financing) or a retailer (trade credit financing). Our analysis compares supply chain performance under these two financing schemes. Furthermore, we extend our model to evaluate the impacts of retail competition and supply chain member's risk aversion on supply chains, which consist of one capital\u2010constrained manufacturer and two competing retailers. We consider three financing schemes: only bank credit financing, dual trade credit financing, and bank and trade credit mix financing. We find that without retail competition, the retailer is always willing to use the trade credit financing; whereas with retail competition, if one retailer provides the trade credit but the other does not, the credit provider could receive the superior profit. Thus, providing an appropriate trade credit financing scheme is critically important for retailers. Moreover, we find that without retail competition, when a trade interest rate is relatively low, both the retailer and manufacturer could reach a win\u2010win situation in the trade credit financing. However, with retail competition, supply chain members (i.e., two retailers and one manufacturer) will not have an all\u2010win situation no matter which specific financing scheme is adopted and only a win\u2010win\u2010lose situation exists when using the credit mix financing scheme or the dual trade credit financing in supply chains. Last but not least, regardless of risk neutrality or aversion of supply chain members, their pricing decisions among three financing schemes are similar. This implies that the impacts of supply chain members\u2019 risk aversion are limited in supply chain financing scheme selection. 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The COVID\u201019 pandemic has demonstrated the varied impacts of disruptions to supply chains because of labor issues. Shortages of labor continue even now as economies begin to open up with progress on vaccinations. Investing in labor productivity is a possible mechanism in moderating shortfalls in labor. This paper constructs a supply chain network optimization model, whose solution yields optimal product path flows to demand markets, the optimal investments in link labor productivity, as well as labor hours needed, and the optimal wages of the workers in production, transportation, storage, and distribution. The model includes a budget constraint on the investments, along with maximum bounds on investments on the supply chain network links. The theoretical framework, which includes Lagrange analysis and the computational approach, are based on the theory of variational inequalities. Managerial insights are provided obtained via the Lagrange analysis and a series of numerical examples, which demonstrate that such investments can help both the firm and the\u00a0consumers.<\/jats:p>","DOI":"10.1111\/itor.13092","type":"journal-article","created":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T03:45:10Z","timestamp":1638589510000},"page":"2116-2144","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Optimization of investments in labor productivity in supply chain networks"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1645-5363","authenticated-orcid":false,"given":"Anna","family":"Nagurney","sequence":"first","affiliation":[{"name":"Department of Operations and Information Management, Isenberg School of Management University of Massachusetts Amherst MA 01003 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,12,3]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.na.2010.10.013"},{"key":"e_1_2_8_3_1","doi-asserted-by":"crossref","unstructured":"Bloom N. Bunn P. Mizen P. Smietanka P. Thwaites G. 2021.The impact of COVID\u201019 on productivity. NBER Working Paper No. 28233 Cambridge MA.","DOI":"10.3386\/w28233"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.09.040"},{"key":"e_1_2_8_5_1","article-title":"U.S.'s long drought in worker productivity could be ending","author":"Chaney Cambon S.","year":"2021","journal-title":"The Wall Street Journal"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12502"},{"key":"e_1_2_8_7_1","article-title":"The labor shortage are why supply chains are disrupted","author":"Conerly B.","year":"2021","journal-title":"Forbes"},{"key":"e_1_2_8_8_1","first-page":"43","volume-title":"Equilibrium Problems: Nonsmooth Optimization and Variational Inequality Models","author":"Daniele P.","year":"2001"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:JOGO.0000026449.29735.3c"},{"key":"e_1_2_8_10_1","doi-asserted-by":"crossref","DOI":"10.4337\/9781781008164","volume-title":"Dynamic Networks and Evolutionary Variational Inequalities","author":"Daniele P.","year":"2006"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12987"},{"key":"e_1_2_8_12_1","article-title":"Amazon was already powerful. The coronavirus pandemic cleared the way to dominance","author":"Del Ray J.","year":"2020","journal-title":"Vox"},{"key":"e_1_2_8_13_1","article-title":"The case for investing more in people","author":"Garton E.","year":"2017","journal-title":"Harvard Business Review"},{"key":"e_1_2_8_14_1","article-title":"Amazon raising pay for hundreds of thousands of workers","author":"Herrera S.","year":"2021","journal-title":"The Wall Street Journal"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/economies9020082"},{"key":"e_1_2_8_16_1","unstructured":"Igoe K.J. 2021.How COVID\u201019 has changed the standards of worker safety and health\u2014and how organizations can adapt.Harvard T.H. Chan School of Public Health Cambridge MA. Available athttps:\/\/www.hsph.harvard.edu\/ecpe\/how-covid-19-changed-worker-safety-and-health\/(accessed 15 June 2021)."},{"key":"e_1_2_8_17_1","first-page":"57","volume-title":"Technology and Economics: Papers Commemorating Ralph Landau's Service to the National Academy of Engineering","author":"Jorgenson D.W.","year":"1991"},{"key":"e_1_2_8_18_1","volume-title":"An Introduction to Variational Inequalities and Their Applications","author":"Kinderlehrer D.","year":"1980"},{"key":"e_1_2_8_19_1","first-page":"35","article-title":"The extragradient method for finding saddle points and other problems","volume":"13","author":"Korpelevich G.M.","year":"1977","journal-title":"Matekon"},{"key":"e_1_2_8_20_1","unstructured":"Mishra S.K. 2007.A brief history of production functions. MPRA Paper No. 5254. Available athttp:\/\/mpra.ub.uni-muenchen.de\/5254\/(accessed 10 April 2020)."},{"key":"e_1_2_8_21_1","article-title":"Millions are unemployed. Why can't companies find workers?","author":"Morath E.","year":"2021","journal-title":"The Wall Street Journal"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3005-0"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-64973-9_11"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2021.108080"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.12.054"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.04.008"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1111\/itor.12986"},{"key":"e_1_2_8_28_1","first-page":"1","article-title":"Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID\u201019 pandemic through a structured literature review","author":"Queiroz M.M.","year":"2020","journal-title":"Annals of Operations Research"},{"key":"e_1_2_8_29_1","article-title":"Meat processing plants are closing due to Covid\u201019 outbreaks. Beef shortfalls may follow","author":"Reiley L.","year":"2020","journal-title":"The Washington Post"},{"key":"e_1_2_8_30_1","article-title":"Meat processing plants close as working conditions encourage spread of coronavirus","author":"Rosane O.","year":"2020","journal-title":"EcoWatch"},{"key":"e_1_2_8_31_1","article-title":"Where are the workers? 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Trans Operational Res"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1111\/itor.70095","type":"journal-article","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T13:36:02Z","timestamp":1759325762000},"page":"715-718","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Issue Information"],"prefix":"10.1111","volume":"33","member":"311","published-online":{"date-parts":[[2025,10,1]]},"container-title":["International Transactions in Operational 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In this paper, we propose integer programming\u2010based approaches to build decision trees for the algorithm selection problem. These techniques allow the automation of three crucial decisions: (<jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12724-math-0001.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12724:itor12724-math-0001\"\/>) discerning the most important problem features to determine problem classes, (<jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12724-math-0002.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12724:itor12724-math-0002\"\/>) grouping the problems into classes, and (<jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/itor12724-math-0003.png\" xlink:title=\"urn:x-wiley:09696016:media:itor12724:itor12724-math-0003\"\/>) selecting the best algorithm configuration for each class. To evaluate this new approach, extensive computational experiments were executed using the linear programming algorithms implemented in the COIN\u2010OR branch\u2010and\u2010cut solver across a comprehensive set of instances, including all MIPLIB benchmark instances. The results exceeded our expectations. While selecting the single best parameter setting across all instances decreased the total running time by 22%, our approach decreased the total running time by 40% on average across 10\u2010fold cross\u2010validation experiments. These results indicate that our method generalizes quite well and does not\u00a0overfit.<\/jats:p>","DOI":"10.1111\/itor.12724","type":"journal-article","created":{"date-parts":[[2019,9,23]],"date-time":"2019-09-23T12:55:11Z","timestamp":1569243311000},"page":"2759-2781","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Optimal decision trees for the algorithm selection problem: integer programming based approaches"],"prefix":"10.1111","volume":"28","author":[{"given":"Matheus Guedes","family":"Vilas Boas","sequence":"first","affiliation":[{"name":"Department of Computing Federal University of Ouro Preto St. Diogo de Vasconcelos 328 35400\u2010000 Ouro Preto MG Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haroldo Gambini","family":"Santos","sequence":"additional","affiliation":[{"name":"Department of Computing Federal University of Ouro Preto St. Diogo de Vasconcelos 328 35400\u2010000 Ouro Preto MG Brazil"},{"name":"Computer Science Technology Campus University of KU Leuven 9000 Ghent Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luiz Henrique de Campos","family":"Merschmann","sequence":"additional","affiliation":[{"name":"Department of Computer Science Federal University of Lavras P.O. 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However, different cross\u2010efficiency evaluation models derived from different perspectives generate different cross\u2010efficiency rankings. The information resulting from the various perspectives may be valuable and should not be ignored. In this paper, we propose an innovative composite method for ranking DMUs by calculating the Shannon entropy of the obtained cross\u2010efficiency scores derived from the perspectives of satisfaction and consensus. Also, we adopt grey incidence analysis to compare the rankings of different cross\u2010efficiency models. The calculation procedure using Shannon entropy and grey incidence analysis is illustrated on an example to generate the composite ranking result and compare it to other cross\u2010efficiency model rankings. The cross\u2010efficiency ranking using both satisfaction and consensus information provides a new comprehensive perspective in group evaluation. A practical example is used to show that the cross\u2010efficiency results obtained from the composite perspective of satisfaction and consensus should be widely accepted in practical decision\u2010making.<\/jats:p>","DOI":"10.1111\/itor.12990","type":"journal-article","created":{"date-parts":[[2021,5,9]],"date-time":"2021-05-09T05:58:09Z","timestamp":1620539889000},"page":"3470-3492","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["DEA cross\u2010efficiency ranking method considering satisfaction and consensus degree"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9784-401X","authenticated-orcid":false,"given":"Dongdong","family":"Wu","sequence":"first","affiliation":[{"name":"School of Business Jiangnan University Wuxi Jiangsu Province 214122 P.R. 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In view of the increasing significance of market disruptions in industries, in this paper, we review a selection of related papers that focus on market disruptions in the supply chain. We classify the literature into three aspects, namely, demand disruption, supply disruption, and supply chain disruption risk. We review the representative operational models in each aspect. We derive insights into the current state of knowledge in each area. We suggest three future research directions: (a) Can supply chain structure help reduce disruption risk? (b) How does information asymmetry influence the supply chain in the presence of disruption? (c) How does social welfare vary in the presence of disruption? 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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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A considerable amount of energy is dissipated due to radio transmission power and interference (message collisions). A typical topology control technique aims at reducing energy consumption while ensuring specific desired properties to the established wireless network (such as biconnectivity). Energy minimization can be achieved by reducing the transmission power and selecting edges that suffer or cause less interference. We propose four integer programming formulations for the<jats:italic>k<\/jats:italic>\u2010connected minimum wireless<jats:italic>ad hoc<\/jats:italic>interference problem, which consists in a topology control technique to find a power assignment to the nodes of an<jats:italic>ad hoc<\/jats:italic>wireless network such that the resulting network topology is<jats:italic>k<\/jats:italic>\u2010vertex connected and the radio interference is minimum. Interference is measured by three different models: Boolean, protocol, and physical. 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Trans Operational Res"],"published-print":{"date-parts":[[2001,5]]},"abstract":"<jats:p>The blocking probability of a route in a loss network is the probability that a call arriving at that route is rejected due to there being insufficient resources available on it. The blocking probabilities, also known as loss probabilities, are often used as a measure of network performance. Closed\u2010form expressions for these are easy to write down, however they cannot be evaluated in polynomial time, even for small networks. Consequently, there has always been an enormous interest in developing efficient methods for approximating them. Arguably, the most important of these is the Erlang fixed\u2010point approximation (EFPA), which teletraffic engineers were using long before rigorous results justifying its use in various circumstances were proved. This article demonstrates that care must be exercised when using the standard Jacobi iteration scheme employed in serial implementations of the EFPA, as it may not converge. A number of modifications to the EFPA, which appear to be more stable and able to avoid pathologies such as limit cycles, are presented. Of particular interest is the Jacobi iteration scheme modified so that each new update is a weighted average of the new and old iterates. We show that convergence of this method is always guaranteed by an appropriate choice of the weighting constant. Finally, a comparison between the serial implementation and a number of parallel implementations of the EFPA is presented.<\/jats:p>","DOI":"10.1111\/1475-3995.00268","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T02:54:52Z","timestamp":1047437692000},"page":"317-335","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["On Serial and Parallel Implementations of the Erlang Fixed\u2010Point Iteration Scheme"],"prefix":"10.1111","volume":"8","author":[{"given":"Andrew G.","family":"Hart","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%2F1475-3995.00268","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1475-3995.00268","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T16:42:19Z","timestamp":1700412139000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/1475-3995.00268"}},"issued":{"date-parts":[[2001,5]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2001,5]]}},"alternative-id":["10.1111\/1475-3995.00268"],"URL":"https:\/\/doi.org\/10.1111\/1475-3995.00268","archive":["Portico"],"ISSN":["0969-6016","1475-3995"],"issn-type":[{"value":"0969-6016","type":"print"},{"value":"1475-3995","type":"electronic"}],"published":{"date-parts":[[2001,5]]},"assertion":[{"value":"2002-12-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T17:10:27Z","timestamp":1700413827332},"reference-count":0,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2002,12,16]],"date-time":"2002-12-16T00:00:00Z","timestamp":1039996800000},"content-version":"vor","delay-in-days":594,"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":[[2001,5]]},"abstract":"<jats:p>Non\u2010linear optimizations that do not require explicit or implicit derivative information of an objective function are an alternate search strategy when the derivative of the objective function is not available. In factorial design, the number of trials for experimental identification method in <jats:italic>E<jats:sup>m<\/jats:sup><\/jats:italic> is about (<jats:italic>m<\/jats:italic>+ 1). These (<jats:italic>m<\/jats:italic>+ 1) equally spaced points are allowed to form a geometry that is known as regular simplex. The simplex method is attributed to Spendley, Hext and Himsworth. The method is improved by maintaining a set of (<jats:italic>m<\/jats:italic>+ 1) points in <jats:italic>m<\/jats:italic> dimensional space to generate a non\u2010regular simplex. This study suggests re\u2010scaling the simplex in higher dimensions for a restart phase. The direction of search is also changed when the simplex degenerates.<\/jats:p><jats:p>The performance of this derivative free search method is measured based on the number of function evaluations, number of restart attempts and improvements in function value. An algorithm that describes the improved method is presented and compared with the Nelder and Mead simplex method. The performance of this algorithm is also tested with artificial neural network (ANN) problem. The numbers of function evaluations are about 40 times less with the improved method against the Nelder and Mead (1965) method to train an ANN problem with 36 variables.<\/jats:p>","DOI":"10.1111\/1475-3995.00266","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T02:54:52Z","timestamp":1047437692000},"page":"285-303","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Derivative Free Optimization in Higher Dimension"],"prefix":"10.1111","volume":"8","author":[{"given":"Shamsuddin","family":"Ahmed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2002,12,16]]},"container-title":["International Transactions in Operational 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The main features of this modeling environment are: version control of models and data; client\u2010server architecture, which allows the interaction among modelers and decision makers; the use of a database to store information about the models and data scenarios; and the use of remote servers of optimization, which allows the optimization problems to be solved on different machines. The modeling environment proposed in this work was validated using mathematical programming models that exploit different characteristics, such as the treatment of conditions for generating variables and constraints, the use of calculated parameters derived from other parameters, and the use of integer and continuous variables in mixed IP models among others. This validation showed that the proposed environment is able to treat models found in various application areas of operations research and to solve problems with tens of thousands of variables and constraints.<\/jats:p>","DOI":"10.1111\/itor.12123","type":"journal-article","created":{"date-parts":[[2014,8,29]],"date-time":"2014-08-29T21:53:31Z","timestamp":1409349211000},"page":"1001-1030","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Applying software engineering techniques in the development and management of linear and integer programming applications"],"prefix":"10.1111","volume":"21","author":[{"given":"Fernando","family":"Costa","sequence":"first","affiliation":[{"name":"Computing Institute (IC) Universidade Federal Fluminense  Niter\u00f3i RJ 24210\u2010240 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonardo","family":"Murta","sequence":"additional","affiliation":[{"name":"Computing Institute (IC) Universidade Federal Fluminense  Niter\u00f3i RJ 24210\u2010240 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Celso C.","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Computing Institute (IC) Universidade Federal Fluminense  Niter\u00f3i RJ 24210\u2010240 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2014,8,29]]},"reference":[{"key":"e_1_2_6_2_1","volume-title":"Linear Programming and Network Flows","author":"Bazaraa M.","year":"1977"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10732-005-0616-6"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0121223"},{"key":"e_1_2_6_5_1","volume-title":"The Unified Modeling Language User Guide","author":"Booch G.","year":"2005"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/58859.58863"},{"key":"e_1_2_6_7_1","volume-title":"Version Control with Subversion","author":"Collins\u2010Sussman B.","year":"2008"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/280277.280280"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2008.02.010"},{"key":"e_1_2_6_10_1","doi-asserted-by":"crossref","unstructured":"Estublier J. 2000.Software configuration management: a roadmap. 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The CRP aims to group items into bundles and then select a subset of such bundles, so that we can maximise the similarity of the items within a bundle and, simultaneously, can maximise the complementarity of the selected bundles. To this end, the CRP approach considers the existing relations among items' attributes, leading to the selection of bundles that satisfy users' expectations without the needing for any refining query and, thus, improving the searching experience, with respect to traditional IR approaches. In this study, we propose three efficient yet straightforward algorithms, namely Local Search, Iterative Local Search and Variable Neighbourhood Search. Further, two different neighbourhood moves are evaluated at each algorithm. Although the first neighbourhood move is focused on the exploitation of the nearby search space, the second one is focused on the exploration of larger portions of the search space. All these algorithms are applied to two real\u2010world publicly available instances and compared to the state\u2010of\u2010the\u2010art algorithms in CRP. Obtained results suggest that combining both neighbourhood moves leads to better results in terms of both, the complementarity of the bundles and similarity of the items. Further, results show that, after statistical analysis, the proposed algorithms are significantly better, for the vast majority of the experiments performed in this study, when compared to the state\u2010of\u2010the\u2010art algorithms in\u00a0CRP.<\/jats:p>","DOI":"10.1111\/itor.13112","type":"journal-article","created":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T13:28:39Z","timestamp":1641994119000},"page":"1065-1091","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Local search algorithms for the composite retrieval problem"],"prefix":"10.1111","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0342-8267","authenticated-orcid":false,"given":"Mauricio","family":"Moyano","sequence":"first","affiliation":[{"name":"Escuela de Ingenier\u00eda Inform\u00e1tica Pontificia Universidad Cat\u00f3lica de Valpara\u00edso Valpara\u00edso Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1341-4152","authenticated-orcid":false,"given":"Paula","family":"Zabala","sequence":"additional","affiliation":[{"name":"Universidad de Buenos Aires Buenos Aires Argentina"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustavo","family":"Gatica","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda Universidad Andres Bello Santiago Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8238-7426","authenticated-orcid":false,"given":"Guillermo","family":"Cabrera\u2010Guerrero","sequence":"additional","affiliation":[{"name":"Escuela de Ingenier\u00eda Inform\u00e1tica Pontificia Universidad Cat\u00f3lica de Valpara\u00edso Valpara\u00edso Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,1,12]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"crossref","unstructured":"Amer\u2010Yahia S. Bonchi F. Castillo C. Feuerstein E. M\u00e9ndez\u2010D\u00edaz I. Zabala P. 2013.Complexity and algorithms for composite retrieval.Proceedings of the 22Nd International Conference on World Wide Web.ACM New York NY pp.79\u201380.","DOI":"10.1145\/2487788.2487822"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2306678"},{"key":"e_1_2_6_4_1","doi-asserted-by":"crossref","unstructured":"Bai J. Zhou C. Song J. Qu X. An W. Li Z. Gao J. 2019.Personalized bundle list recommendation.The World Wide Web Conference.Association for Computing Machinery New York NY pp.60\u201371.","DOI":"10.1145\/3308558.3313568"},{"key":"e_1_2_6_5_1","doi-asserted-by":"crossref","unstructured":"Bota H. Zhou K. Jose J.J. 2015.Exploring composite retrieval from the users' perspective. InEuropean Conference on Information Retrieval.Springer pp.13\u201324.","DOI":"10.1007\/978-3-319-16354-3_2"},{"key":"e_1_2_6_6_1","doi-asserted-by":"crossref","unstructured":"Bota H. Zhou K. Jose J.M. 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The product configuration problem (PCP) consists in finding the product, among all the products allowed by the SPL, that best fits the customer's preferences and requirements. PCP is a generalization of the tree knapsack problem (TKP) with additional AND, XOR, and OR constraints. Therefore, this problem is also NP\u2010hard. Previous work in the literature could solve only instances with up to 500 features. In this paper, we propose a pseudo\u2010polynomial time dynamic programming algorithm that solves PCP in , where <jats:italic>n<\/jats:italic> is the number of features and <jats:italic>H<\/jats:italic> is the customer's budget. We also propose an integer linear programming formulation for PCP, which is solved by the CPLEX's branch\u2010and\u2010bound algorithm. Computational experiments, performed on realistic instances from the literature, showed that the proposed algorithms were able to find optimal solutions for all the instances with up to 10,000\u00a0features.<\/jats:p>","DOI":"10.1111\/itor.13172","type":"journal-article","created":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T03:15:05Z","timestamp":1657682105000},"page":"3979-3992","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exact algorithms for the product configuration problem"],"prefix":"10.1111","volume":"30","author":[{"given":"Eduardo T.","family":"Bogue","sequence":"first","affiliation":[{"name":"Universidade Federal de Mato Grosso do Sul Ponta Por\u00e3 79900\u2010000 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucas","family":"Maciel","sequence":"additional","affiliation":[{"name":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o Universidade Federal de Minas Gerais Belo Horizonte 31270\u2010901 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6831-2006","authenticated-orcid":false,"given":"Thiago F.","family":"Noronha","sequence":"additional","affiliation":[{"name":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o Universidade Federal de Minas Gerais Belo Horizonte 31270\u2010901 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,7,12]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2014.03.005"},{"key":"e_1_2_8_3_1","doi-asserted-by":"crossref","unstructured":"Batory D. 2005.Feature models grammars & propositional formulas.9th International Software Product Lines Conference (SPLC) Vol.1 pp.7\u201320.","DOI":"10.1007\/11554844_3"},{"key":"e_1_2_8_4_1","doi-asserted-by":"crossref","unstructured":"Benavides D. 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