{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:13:44Z","timestamp":1778084024326,"version":"3.51.4"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T00:00:00Z","timestamp":1680048000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T00:00:00Z","timestamp":1680048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1007\/s10479-023-05287-5","type":"journal-article","created":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T07:03:21Z","timestamp":1680073401000},"page":"3-33","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["An efficient healthcare chain design for resolving the patient scheduling problem: queuing theory and MILP-ASA optimization approach"],"prefix":"10.1007","volume":"328","author":[{"given":"Ali","family":"Ala","sequence":"first","affiliation":[]},{"given":"Morteza","family":"Yazdani","sequence":"additional","affiliation":[]},{"given":"Mohsen","family":"Ahmadi","sequence":"additional","affiliation":[]},{"given":"Aida","family":"Poorianasab","sequence":"additional","affiliation":[]},{"given":"Mahdi Yousefi Nejad","family":"Attari","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,29]]},"reference":[{"key":"5287_CR005","doi-asserted-by":"crossref","unstructured":"Abdolazimi, O., Salehi Esfandarani, M., Salehi, M., Shishebori, D., & Shakhsi-Niaei, M. (2023). Development of sustainable and resilient healthcare and non-cold pharmaceutical distribution supply chain for COVID-19 pandemic: A case study. The International Journal of Logistics Management, 34(2), 363\u2013389.","DOI":"10.1108\/IJLM-04-2021-0232"},{"issue":"1","key":"5287_CR1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.ejor.2016.06.064","volume":"258","author":"A Ahmadi-Javid","year":"2017","unstructured":"Ahmadi-Javid, A., Jalali, Z., & Klassen, K. J. (2017). Outpatient appointment systems in healthcare: A review of optimization studies. European Journal of Operational Research, 258(1), 3\u201334.","journal-title":"European Journal of Operational Research"},{"issue":"1","key":"5287_CR2","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/s40171-019-00223-8","volume":"20","author":"R Aldrighetti","year":"2019","unstructured":"Aldrighetti, R., Zennaro, I., Finco, S., & Battini, D. (2019). Healthcare supply chain simulation with disruption considerations: A case study from Northern Italy. Global Journal of Flexible Systems Management, 20(1), 81\u2013102.","journal-title":"Global Journal of Flexible Systems Management"},{"key":"5287_CR3","doi-asserted-by":"crossref","unstructured":"Almutairi, A. M., Salonitis, K., & Al-Ashaab, A. (2019). Assessing the leanness of a supply chain using multi-grade fuzzy logic: a healthcare case study. International Journal of Lean Six Sigma.","DOI":"10.1108\/IJLSS-03-2018-0027"},{"issue":"1","key":"5287_CR4","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1287\/mnsc.2017.2948","volume":"65","author":"C Bandi","year":"2019","unstructured":"Bandi, C., Trichakis, N., & Vayanos, P. (2019). Robust multiclass queuing theory for wait time estimation in resource allocation systems. Management Science, 65(1), 152\u2013187.","journal-title":"Management Science"},{"key":"5287_CR5","doi-asserted-by":"crossref","unstructured":"Battini, D., Faccio, M., Persona, A., & Sgarbossa, F. (2015). Modelling the growing process of integrated healthcare supply networks. In Healthcare administration: Concepts, methodologies, tools, and applications (pp. 377\u2013389). IGI Global.","DOI":"10.4018\/978-1-4666-6339-8.ch019"},{"issue":"8","key":"5287_CR6","doi-asserted-by":"publisher","first-page":"2074","DOI":"10.1016\/j.apm.2009.10.019","volume":"34","author":"V Bhaskar","year":"2010","unstructured":"Bhaskar, V., & Lallement, P. (2010). Modeling a supply chain using a network of queues. Applied Mathematical Modelling, 34(8), 2074\u20132088.","journal-title":"Applied Mathematical Modelling"},{"key":"5287_CR7","doi-asserted-by":"crossref","unstructured":"Chan, I. C. C., Ma, J., Law, R., Buhalis, D., & Hatter, R. (2020). Dynamics of hotel website browsing activity: the power of informatics and data analytics.\u00a0Industrial Management & Data Systems.","DOI":"10.1108\/IMDS-12-2019-0709"},{"issue":"5","key":"5287_CR8","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1080\/21681015.2019.1647883","volume":"36","author":"MC Chiu","year":"2019","unstructured":"Chiu, M. C., Huang, P. H., & Tsao, S. H. (2019). Redesigning the user interface of a healthcare management system for the elderly with a systematic usability testing method. Journal of Industrial and Production Engineering, 36(5), 324\u2013334.","journal-title":"Journal of Industrial and Production Engineering"},{"issue":"6","key":"5287_CR9","doi-asserted-by":"publisher","first-page":"3575","DOI":"10.1051\/ro\/2021138","volume":"55","author":"B Esmailnezhad","year":"2022","unstructured":"Esmailnezhad, B., & Saidi-mehrabad, M. (2022). Making an integrated decision in a three-stage supply chain along with cellular manufacturing under uncertain environments: A queueing-based analysis. RAIRO-Operations Research, 55(6), 3575\u20133602.","journal-title":"RAIRO-Operations Research"},{"key":"5287_CR10","doi-asserted-by":"crossref","unstructured":"Esmizadeh, Y., & Mellat Parast, M. (2020). Logistics and supply chain network designs: incorporating competitive priorities and disruption risk management perspectives. International Journal of Logistics Research and Applications, 1\u201324.","DOI":"10.1080\/13675567.2020.1744546"},{"key":"5287_CR003","doi-asserted-by":"crossref","unstructured":"Fathollahi-Fard, A. M., Govindan, K., Hajiaghaei-Keshteli, M., & Ahmadi, A. (2019). A green home health care supply chain: New modified simulated annealing algorithms. Journal of Cleaner Production, 240, 118200.","DOI":"10.1016\/j.jclepro.2019.118200"},{"key":"5287_CR11","doi-asserted-by":"crossref","unstructured":"Franco, C., Herazo-Padilla, N., & Casta\u00f1eda, J. A. (2022). A queueing Network approach for capacity planning and patient Scheduling: A case study for the COVID-19 vaccination process in Colombia.\u00a0Vaccine.","DOI":"10.1016\/j.vaccine.2022.09.079"},{"issue":"7","key":"5287_CR12","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1080\/21681015.2017.1370742","volume":"34","author":"A Gharaei","year":"2017","unstructured":"Gharaei, A., & Pasandideh, S. H. R. (2017). Modeling and optimization of four-level integrated supply chain with the aim of determining the optimum stockpile and period length: Sequential quadratic programming. Journal of Industrial and Production Engineering, 34(7), 529\u2013541.","journal-title":"Journal of Industrial and Production Engineering"},{"key":"5287_CR333","doi-asserted-by":"crossref","unstructured":"Gharaei, A., Pasandideh, S. H. R., & Arshadi Khamseh, A. (2017). Inventory model in a four-echelon integrated supply chain: Modeling and optimization. Journal of Modelling in Management, 12(4), 739\u2013762.","DOI":"10.1108\/JM2-07-2016-0065"},{"key":"5287_CR13","unstructured":"Goli, A., & Golmohammadi, A. M. (2022). Multi-objective optimization of location and distribution in a closed-loop supply chain by considering market share in competitive conditions.\u00a0International Journal of Supply and Operations Management."},{"key":"5287_CR14","doi-asserted-by":"publisher","first-page":"106331","DOI":"10.1016\/j.asoc.2020.106331","volume":"92","author":"F Goodarzian","year":"2020","unstructured":"Goodarzian, F., Hosseini-Nasab, H., Mu\u00f1uzuri, J., & Fakhrzad, M. B. (2020). A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics. Applied Soft Computing, 92, 106331.","journal-title":"Applied Soft Computing"},{"key":"5287_CR001","unstructured":"Gradshteyn, I. S., & Ryzhik, I. M. (2014). Table of integrals, series, and products. Academic press."},{"issue":"2","key":"5287_CR15","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1287\/msom.2014.0476","volume":"16","author":"P Guo","year":"2014","unstructured":"Guo, P., Lindsey, R., & Zhang, Z. G. (2014). On the Downs-Thomson paradox in a self-financing two-tier queuing system. Manufacturing & Service Operations Management, 16(2), 315\u2013322.","journal-title":"Manufacturing & Service Operations Management"},{"key":"5287_CR16","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.ijpe.2017.09.009","volume":"195","author":"A Haddadsisakht","year":"2018","unstructured":"Haddadsisakht, A., & Ryan, S. M. (2018). Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax. International Journal of Production Economics, 195, 118\u2013131.","journal-title":"International Journal of Production Economics"},{"key":"5287_CR17","doi-asserted-by":"crossref","unstructured":"He, X., & Hu, W. (2014). Modeling relief demands in an emergency supply chain system under large-scale disasters based on a queuing network. The Scientific World Journal, 2014.","DOI":"10.1155\/2014\/195053"},{"key":"5287_CR006","doi-asserted-by":"crossref","unstructured":"Henrique, D. B., & Godinho Filho, M. (2020). A systematic literature review of empirical research in Lean and Six Sigma in healthcare. Total Quality Management & Business Excellence, 31(3\u20134), 429\u2013449.","DOI":"10.1080\/14783363.2018.1429259"},{"key":"5287_CR18","first-page":"16","volume":"11","author":"J Heydari","year":"2018","unstructured":"Heydari, J., Sabbaghnia, A., & Razmi, J. (2018). A dynamic bi-objective model for after disaster blood supply chain network design; a robust possibilistic programming approach. Journal of Industrial and Systems Engineering, 11, 16\u201328.","journal-title":"Journal of Industrial and Systems Engineering"},{"key":"5287_CR19","doi-asserted-by":"publisher","first-page":"100725","DOI":"10.1016\/j.seps.2019.07.001","volume":"70","author":"SM Hosseini-Motlagh","year":"2020","unstructured":"Hosseini-Motlagh, S. M., Samani, M. R. G., & Cheraghi, S. (2020). Robust and stable flexible blood supply chain network design under motivational initiatives. Socio-Economic Planning Sciences, 70, 100725.","journal-title":"Socio-Economic Planning Sciences"},{"issue":"1","key":"5287_CR20","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1111\/itor.12400","volume":"25","author":"X Hu","year":"2018","unstructured":"Hu, X., Barnes, S., & Golden, B. (2018). Applying queueing theory to the study of emergency department operations: A survey and a discussion of comparable simulation studies. International Transactions in Operational Research, 25(1), 7\u201349.","journal-title":"International Transactions in Operational Research"},{"issue":"1","key":"5287_CR22","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s10479-017-2588-y","volume":"283","author":"S Khalilpourazari","year":"2019","unstructured":"Khalilpourazari, S., & Khamseh, A. A. (2019). Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: A comprehensive study with real world application. Annals of Operations Research, 283(1), 355\u2013393.","journal-title":"Annals of Operations Research"},{"key":"5287_CR23","doi-asserted-by":"crossref","unstructured":"Khorasani, S. T., Cross, J., & Maghazei, O. (2020). Lean supply chain management in healthcare: a systematic review and meta-study.\u00a0International Journal of Lean Six Sigma.","DOI":"10.1108\/IJLSS-07-2018-0069"},{"issue":"5","key":"5287_CR24","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1504\/IJITST.2020.109537","volume":"10","author":"MS Kumar","year":"2020","unstructured":"Kumar, M. S., & Raja, M. I. (2020). A queuing theory model for e-health cloud applications. International Journal of Internet Technology and Secured Transactions, 10(5), 585\u2013600.","journal-title":"International Journal of Internet Technology and Secured Transactions"},{"key":"5287_CR25","doi-asserted-by":"publisher","first-page":"114373","DOI":"10.1016\/j.eswa.2020.114373","volume":"168","author":"V Lahri","year":"2021","unstructured":"Lahri, V., Shaw, K., & Ishizaka, A. (2021). Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and \u03b5-constrained methods. Expert Systems with Applications, 168, 114373.","journal-title":"Expert Systems with Applications"},{"issue":"1\u20132","key":"5287_CR26","first-page":"25","volume":"2","author":"C Lakshmi","year":"2013","unstructured":"Lakshmi, C., & Iyer, S. A. (2013). Application of queueing theory in health care: A literature review. Operations Research for Health Care, 2(1\u20132), 25\u201339.","journal-title":"Operations Research for Health Care"},{"issue":"3","key":"5287_CR27","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1016\/j.ejor.2019.07.063","volume":"280","author":"J Ma","year":"2020","unstructured":"Ma, J., Zhang, D., Dong, J., & Tu, Y. (2020). A supply chain network economic model with time-based competition. European Journal of Operational Research, 280(3), 889\u2013908.","journal-title":"European Journal of Operational Research"},{"key":"5287_CR28","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.cie.2016.07.008","volume":"99","author":"H Maghsoudlou","year":"2016","unstructured":"Maghsoudlou, H., Kahag, M. R., Niaki, S. T. A., & Pourvaziri, H. (2016). Bi-objective optimization of a three-echelon multi-server supply-chain problem in congested systems: Modeling and solution. Computers & Industrial Engineering, 99, 41\u201362.","journal-title":"Computers & Industrial Engineering"},{"issue":"1","key":"5287_CR29","doi-asserted-by":"publisher","first-page":"70","DOI":"10.15171\/ijhpm.2017.89","volume":"7","author":"M Mahdavi","year":"2018","unstructured":"Mahdavi, M., Parsaeian, M., Jaafaripooyan, E., & Ghaffari, S. (2018). Recent Iranian health system reform: An operational perspective to improve health services quality. International Journal of Health Policy and Management, 7(1), 70.","journal-title":"International Journal of Health Policy and Management"},{"issue":"7","key":"5287_CR30","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.1108\/JBIM-06-2017-0141","volume":"33","author":"S Mandal","year":"2018","unstructured":"Mandal, S. (2018). Influence of human capital on healthcare agility and healthcare supply chain performance. Journal of Business & Industrial Marketing, 33(7), 1012\u20131026.","journal-title":"Journal of Business & Industrial Marketing"},{"key":"5287_CR002","doi-asserted-by":"crossref","unstructured":"Manupati, V. K., Schoenherr, T., Ramkumar, M., Wagner, S. M., Pabba, S. K., & Inder Raj Singh, R. (2020). A blockchain-based approach for a multi-echelon sustainable supply chain. International Journal of Production Research, 58(7), 2222\u20132241.","DOI":"10.1080\/00207543.2019.1683248"},{"key":"5287_CR31","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1016\/j.ijpe.2017.08.005","volume":"193","author":"AH Masoumi","year":"2017","unstructured":"Masoumi, A. H., Yu, M., & Nagurney, A. (2017). Mergers and acquisitions in blood banking systems: A supply chain network approach. International Journal of Production Economics, 193, 406\u2013421.","journal-title":"International Journal of Production Economics"},{"key":"5287_CR32","doi-asserted-by":"crossref","unstructured":"Mehmood, R., Meriton, R., Graham, G., Hennelly, P., & Kumar, M. (2017). Exploring the influence of big data on city transport operations: a Markovian approach. International Journal of Operations & Production Management.","DOI":"10.1108\/IJOPM-03-2015-0179"},{"key":"5287_CR111","doi-asserted-by":"crossref","unstructured":"Naderi, R., Nikabadi, M. S., Alem-Tabriz, A., & Pishvaee, M. S. (2021). Sustainable coal supply chain management using exergy analysis and genetic algorithm. Management Systems in Production Engineering, 29(1), 44\u201353.","DOI":"10.2478\/mspe-2021-0006"},{"key":"5287_CR33","doi-asserted-by":"crossref","unstructured":"Nagariya, R., Kumar, D., & Kumar, I. (2020). Service supply chain: from bibliometric analysis to content analysis, current research trends and future research directions. Benchmarking: An International Journal.","DOI":"10.1108\/BIJ-04-2020-0137"},{"key":"5287_CR222","doi-asserted-by":"crossref","unstructured":"Nagurney, A. (2021). Optimization of supply chain networks with inclusion of labor: Applications to COVID-19 pandemic disruptions. International Journal of Production Economics, 235, 108080.","DOI":"10.1016\/j.ijpe.2021.108080"},{"issue":"2","key":"5287_CR34","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1016\/j.ijpe.2012.07.008","volume":"140","author":"A Nagurney","year":"2012","unstructured":"Nagurney, A., & Nagurney, L. S. (2012). Medical nuclear supply chain design: A tractable network model and computational approach. International Journal of Production Economics, 140(2), 865\u2013874.","journal-title":"International Journal of Production Economics"},{"key":"5287_CR35","doi-asserted-by":"crossref","unstructured":"Nawusu, Y. A. W., Danaa, A. A. A., & Ismail, S. (2020). Queue management during health pandemics: A queuing theory perspective. Asian Journal of Research in Computer Science, 18\u201326.","DOI":"10.9734\/ajrcos\/2020\/v6i430164"},{"issue":"5","key":"5287_CR36","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1057\/s41274-017-0267-7","volume":"69","author":"BS Onggo","year":"2018","unstructured":"Onggo, B. S., Proudlove, N. C., D\u2019Ambrogio, S. A., Calabrese, A., Bisogno, S., & Levialdi Ghiron, N. (2018). A BPMN extension to support discrete-event simulation for healthcare applications: An explicit representation of queues, attributes and data-driven decision points. Journal of the Operational Research Society, 69(5), 788\u2013802.","journal-title":"Journal of the Operational Research Society"},{"issue":"2","key":"5287_CR37","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1504\/IJOR.2021.118976","volume":"42","author":"M Pouraliakbari-Mamaghani","year":"2021","unstructured":"Pouraliakbari-Mamaghani, M., Mohammadi, M., Arshadi-Khamseh, A., & Naderi, B. (2021). A bi-objective robust possibilistic programming model for blood supply chain design in the mass casualty event response phase: A M\/M\/1\/K queuing model with real world application. International Journal of Operational Research, 42(2), 229\u2013275.","journal-title":"International Journal of Operational Research"},{"issue":"3","key":"5287_CR38","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1007\/s00291-018-0519-1","volume":"40","author":"M Radman","year":"2018","unstructured":"Radman, M., & Eshghi, K. (2018). Designing a multi-service healthcare network based on the impact of patients\u2019 flow among medical services. Or Spectrum, 40(3), 637\u2013678.","journal-title":"Or Spectrum"},{"key":"5287_CR39","doi-asserted-by":"crossref","unstructured":"Raj, A. S., & Chinnadurai, M. (2021). An queueing model with improved delay sensitive medical packet transmission scheduling system in e-health networks. Journal of Ambient Intelligence and Humanized Computing, 1\u201312.","DOI":"10.1007\/s12652-020-02756-8"},{"key":"5287_CR40","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.tre.2017.06.004","volume":"104","author":"R Ramezanian","year":"2017","unstructured":"Ramezanian, R., & Behboodi, Z. (2017). Blood supply chain network design under uncertainties in supply and demand considering social aspects. Transportation Research Part E: Logistics and Transportation Review, 104, 69\u201382.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"5287_CR41","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1016\/j.jclepro.2015.10.074","volume":"113","author":"M Talaei","year":"2016","unstructured":"Talaei, M., Moghaddam, B. F., Pishvaee, M. S., Bozorgi-Amiri, A., & Gholamnejad, S. (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: A numerical illustration in electronics industry. Journal of Cleaner Production, 113, 662\u2013673.","journal-title":"Journal of Cleaner Production"},{"key":"5287_CR42","doi-asserted-by":"publisher","first-page":"130056","DOI":"10.1016\/j.jclepro.2021.130056","volume":"333","author":"EB Tirkolaee","year":"2022","unstructured":"Tirkolaee, E. B., Goli, A., Ghasemi, P., & Goodarzian, F. (2022). Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms. Journal of Cleaner Production, 333, 130056.","journal-title":"Journal of Cleaner Production"},{"issue":"2","key":"5287_CR43","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1002\/asmb.2231","volume":"33","author":"G Wan","year":"2017","unstructured":"Wan, G., & Wang, Q. (2017). Two-tier healthcare service systems and cost of waiting for patients. Applied Stochastic Models in Business and Industry, 33(2), 167\u2013183.","journal-title":"Applied Stochastic Models in Business and Industry"},{"issue":"3","key":"5287_CR45","first-page":"165","volume":"12","author":"D Yaduvanshi","year":"2020","unstructured":"Yaduvanshi, D., Sharma, A., & More, P. (2020). Application of queuing theory to optimize waiting-time in hospital operations. Operations and Supply Chain Management: An International Journal, 12(3), 165\u2013174.","journal-title":"Operations and Supply Chain Management: An International Journal"},{"key":"5287_CR555","doi-asserted-by":"crossref","unstructured":"Zahiri, B., & Pishvaee, M. S. (2017). Blood supply chain network design considering blood group compatibility under uncertainty. International Journal of Production Research, 55(7), 2013\u20132033.","DOI":"10.1080\/00207543.2016.1262563"},{"key":"5287_CR444","doi-asserted-by":"crossref","unstructured":"Zahiri, B., Tavakkoli-Moghaddam, R., Mohammadi, M., & Jula, P. (2014). Multi-objective design of an organ transplant network under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 72, 101\u2013124.","DOI":"10.1016\/j.tre.2014.09.007"},{"issue":"1","key":"5287_CR46","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s10479-014-1756-6","volume":"257","author":"S Zokaee","year":"2017","unstructured":"Zokaee, S., Jabbarzadeh, A., Fahimnia, B., & Sadjadi, S. J. (2017). Robust supply chain network design: An optimization model with real world application. Annals of Operations Research, 257(1), 15\u201344.","journal-title":"Annals of Operations Research"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-023-05287-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-023-05287-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-023-05287-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T11:13:19Z","timestamp":1692097999000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-023-05287-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,29]]},"references-count":54,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["5287"],"URL":"https:\/\/doi.org\/10.1007\/s10479-023-05287-5","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,29]]},"assertion":[{"value":"8 March 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 March 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interest"}}]}}