DESIGNING REVERSE LOGISTICS NETWORK FOR END-OF-LIFE VEHICLES: A SUSTAINABILITY PERSPECTIVE IN A FRAGILE SUPPLY CHAIN

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dc.contributor.authorAyvaz, Berk
dc.contributor.authorKusakci, Ali Osman
dc.contributor.authorAydin, Nezir
dc.contributor.authorErtas, Emine
dc.date.accessioned2024-03-13T10:33:17Z
dc.date.available2024-03-13T10:33:17Z
dc.date.issued2021
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractEnvironmental guidelines in the automotive industry greatly emphasize the recycling, remanufacturing, and recovering of end-of-life vehicles (ELVs). Given the principle of extended producer responsibility, developing an effective reverse logistics network is the most significant digit ahead of the industry. However, initial attempts addressing the reverse logistics network design (RLND) problem were short-sighted, focusing on cost minimization. Undoubtedly, the whole concept of recycling was founded on the pillars of sustainability. Accordingly, reverse logistics network design must be motivated by long-term environmental and societal benefits. This fact has become even more prominent in the current pandemic environment as COVID-19 has added serious uncertainties and risks to the supply chain processes. This paper reiterates the essence of sustainability goals and proposes a multi-objective fuzzy mathematical model to RLND problem for ELVs under such a fragile and fuzzy environment. The coverage of the proposed model is to optimally determine the locations and numbers of the facilities and the flows among them concerning environmental, social, and economic aspects. Hence, the model aims to reach a robust compromise solution that leads to a resilient network design. A real case study on the ELV market in Istanbul/Turkey proves the merit of the developed model.en_US
dc.description.sponsorshipCouncil for Scientific Research Project Fund of Istanbul Commerce University [E.56770]en_US
dc.description.sponsorshipThis study was supported by the Council for Scientific Research Project Fund of Istanbul Commerce University under the decision number E.56770.en_US
dc.identifier.doi10.37868/hsd.v2i2.29
dc.identifier.endpage328en_US
dc.identifier.issn1072-4761
dc.identifier.issn1943-670X
dc.identifier.issue3en_US
dc.identifier.startpage298en_US
dc.identifier.urihttps://doi.org/10.37868/hsd.v2i2.29
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3863
dc.identifier.volume28en_US
dc.identifier.wosWOS:000731312700001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherUniv Cincinnati Industrial Engineeringen_US
dc.relation.ispartofInternational Journal Of Industrial Engineering-Theory Applications And Practiceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEnd-of-Life Vehicles (ELV)en_US
dc.subjectMulti-Objective Fuzzy Linear Programmingen_US
dc.subjectResilient Network Designen_US
dc.subjectReverse Logisticsen_US
dc.titleDESIGNING REVERSE LOGISTICS NETWORK FOR END-OF-LIFE VEHICLES: A SUSTAINABILITY PERSPECTIVE IN A FRAGILE SUPPLY CHAINen_US
dc.typeArticleen_US

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