Designing a two-stage model for a sustainable closed-loop electric vehicle battery supply chain network: A scenario-based stochastic programming approach

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dc.authoridTavakkoli-Moghaddam, Reza/0000-0002-6757-926X
dc.authorwosidTavakkoli-Moghaddam, Reza/P-1948-2015
dc.contributor.authorSaeedi, Mehran
dc.contributor.authorParhazeh, Sina
dc.contributor.authorTavakkoli-Moghaddam, Reza
dc.contributor.authorKhalili-Fard, Alireza
dc.date.accessioned2024-05-19T14:46:53Z
dc.date.available2024-05-19T14:46:53Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractTransportation is a fundamental requirement of modern life. Vehicles powered by fossil fuels are highly polluting. This study develops a two-stage stochastic programming model to establish a sustainable closed-loop supply chain for Electric Vehicle (EV) batteries. The model considers economic, environmental, and social criteria, including cost, energy consumption, carbon emissions, and job creation. The epsilon-constraint method and three multi-objective meta-heuristic algorithms are utilized to solve problems. Implementing this model in a case study of an EV battery supply chain aids managerial decision-making for optimal center establishment, flow determination, and inventory setting. Finally, essential parameters are analyzed, and several important managerial insights are prepared. The results suggest that investing in used battery collection significantly reduces costs and carbon emissions.en_US
dc.identifier.doi10.1016/j.cie.2024.110036
dc.identifier.issn0360-8352
dc.identifier.issn1879-0550
dc.identifier.scopus2-s2.0-85186769711en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.cie.2024.110036
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5612
dc.identifier.volume190en_US
dc.identifier.wosWOS:001203047900001en_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.ispartofComputers & Industrial Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectSustainable Closed -Loop Supply Chainen_US
dc.subjectElectric Vehicle Batteryen_US
dc.subjectMulti -Objective Optimizationen_US
dc.subjectMeta -Heuristic Algorithmsen_US
dc.subjectTwo -Stage Stochastic Programmingen_US
dc.titleDesigning a two-stage model for a sustainable closed-loop electric vehicle battery supply chain network: A scenario-based stochastic programming approachen_US
dc.typeArticleen_US

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