A bi-level decision-making system to optimize a robust-resilient-sustainable aggregate production planning problem

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dc.authoridTirkolaee, Erfan Babaee/0000-0003-1664-9210
dc.authoridAydin, Nadi Serhan/0000-0002-1453-0016
dc.authorwosidTirkolaee, Erfan Babaee/U-3676-2017
dc.authorwosidAydin, Nadi Serhan/X-8938-2018
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorAydin, Nadi Serhan
dc.contributor.authorMahdavi, Iraj
dc.date.accessioned2024-05-19T14:46:53Z
dc.date.available2024-05-19T14:46:53Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis study introduces a sustainable-robust aggregate production planning (APP) problem taking into account workforce productivity, outsourcing option and supplier resilience. In this regard, a bi-level decision-making system is designed using multi-attribute decision-making (MADM) and multi-objective decision-making (MODM) models, respectively. In the MADM section, a hybrid method called BWM-WASPAS-Neutrosophic based on bestworst method (BWM) and weighted aggregated sum-product assessment (WASPAS) under type-2 neutrosophic number (T2NN) is utilized to investigate resilient supplier selection. To design the MODM section, a multiobjective mixed-integer linear programming (MILP) model is suggested which is then treated with the help of weighted goal programming (WGP) method. The multi-objective model honors sustainable development goals as it aims not only to minimize total cost and maximize weighted purchasing from suppliers, but also to minimize negative environmental impacts simultaneously. Robust optimization (RO) technique is then implemented to the MODM model to address the demand uncertainty. In order to validate the suggested methodology, a real case study from the literature is examined. The obtained results reveal the efficiency of our decision-making system in finding the optimal policy in less than 1 s where sensitivity analyses also contribute to practical managerial implications. Finally, it is revealed that the total weighted purchase from suppliers has the highest sensitivity to the conservatism levels, which determine the extent to which our uncertain demand parameter can deviate from its nominal value.en_US
dc.description.sponsorship2535 TUEBITAK-MSRT Joint Call for Proposals 2020 [119N668]en_US
dc.description.sponsorshipThis research was supported under 2535 TUEBITAK-MSRT Joint Call for Proposals 2020 with Project ID: 119N668.en_US
dc.identifier.doi10.1016/j.eswa.2023.120476
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.scopus2-s2.0-85159280239en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.eswa.2023.120476
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5611
dc.identifier.volume228en_US
dc.identifier.wosWOS:000999121600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectSustainable Aggregate Production Planningen_US
dc.subjectResilient Supplier Selectionen_US
dc.subjectWorkforce Productivityen_US
dc.subjectBi-Level Decision -Making Systemen_US
dc.subjectBwm-Waspas-Neutrosophicen_US
dc.subjectRobust Optimizationen_US
dc.titleA bi-level decision-making system to optimize a robust-resilient-sustainable aggregate production planning problemen_US
dc.typeArticleen_US

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