Designing reverse logistics network for end-of-life vehicles: A sustainability perspective in a fragile supply chain

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dc.authorid0000-0002-8098-3611
dc.authorid0000-0003-1411-0369
dc.authorid0000-0003-3621-0619
dc.authorid0000-0003-4917-0118
dc.authorscopusid56534304200
dc.authorscopusid55330793300
dc.authorscopusid56405234700
dc.authorscopusid57363005800
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorAyvaz, Berk
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorAydın, Nezir
dc.contributor.authorErtaş, Emine
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2021-12-01T13:42:31Z
dc.date.available2021-12-01T13:42:31Z
dc.date.issued2021
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
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.
dc.identifier.citationAyvaz, B., Kuşakcı, A. O., Aydın, N. ve Ertaş, E. (2021). Designing reverse logistics network for end-of-life vehicles: A sustainability perspective in a fragile supply chain. International Journal of Industrial Engineering: Theory, Applications, and Practice, 28(3).
dc.identifier.issn1943-670X
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85120609911
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1664
dc.identifier.volume28
dc.identifier.wosWOS:000731312700001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorid0000-0003-1411-0369
dc.language.isoen
dc.publisherThe International Journal of Industrial Engineering
dc.relation.ihupublicationcategory116
dc.relation.ispartofInternational Journal of Industrial Engineering: Theory, Applications, and Practice
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEnd of Life Vehicles (ELVs)
dc.subjectMulti Objective Fuzzy Linear Programming
dc.subjectResilient Network Design
dc.subjectReverse Logistics
dc.titleDesigning reverse logistics network for end-of-life vehicles: A sustainability perspective in a fragile supply chain
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication21653521-557b-4059-b2be-1fb429b3258a
relation.isAuthorOfPublication.latestForDiscovery21653521-557b-4059-b2be-1fb429b3258a
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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