Optimization of reverse logistics network of End of Life Vehicles under fuzzy supply: A case study for Istanbul Metropolitan Area

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dc.authorid0000-0003-1411-0369
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorAyvaz, Berk
dc.contributor.authorCin, Emine
dc.contributor.authorAydın, Nezir
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2019-01-17T11:34:14Z
dc.date.available2019-01-17T11:34:14Z
dc.date.issued2019
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractRecycling aims at preventing rapid depletion of natural resources while transforming produced waste into value for economy. However, this process becomes a major challenge in automotive industry, which requires cooperative engagement of multiple players within a complex supply chain. In line with the essence of the topic, government agencies around the world issue directives drawing regulatory frameworks for designing recycling operations comprising various activities such as collection of end-of-life vehicles (ELVs), recovery of reusable components, shredding ELV's body, recycling valuable materials and disposal of the hazardous waste. In general, the amount of returned product in a reverse logistics network is highly uncertain, and the ELV market in Turkey is no exception to this. For that purpose, this study aims developing a fuzzy mixed integer location-allocation model for reverse logistic network of ELVs conforming to the existing directives in Turkey. Accordingly, this study uses a novel approach and assumes that ELV supply in the network is uncertain. The merit of the proposed mathematical model is proved on a real world scenario addressing the reverse logistics design problem for ELVs generated in metropolitan area of Istanbul. The network generated specifies that recycling process is not profitable under the existing circumstances with the given level of supplied ELV and the returned product records per capita in Istanbul are far beyond the EU averages. Consequently, sensitivity analyses question the reliability of the obtained results.
dc.identifier.citationKuşakcı, A. O. Ayvaz, B. Cin, E. Aydın, N. (2019). Optimization of reverse logistics network of End of Life Vehicles under fuzzy supply: A case study for Istanbul Metropolitan Area. Journal of Cleaner Production, 215, pp. 1036-1051. https://doi.org/10.1016/j.jclepro.2019.01.090
dc.identifier.doi10.1016/j.jclepro.2019.01.090
dc.identifier.endpage1051
dc.identifier.issn0959-6526
dc.identifier.scopus2-s2.0-85060187724
dc.identifier.scopusqualityQ1
dc.identifier.startpage1036
dc.identifier.urihttps://doi.org/10.1016/j.jclepro.2019.01.090
dc.identifier.urihttps://hdl.handle.net/20.500.12154/594
dc.identifier.volume215
dc.identifier.wosWOS:000459358300088
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorid0000-0003-1411-0369
dc.language.isoen
dc.publisherElsevier
dc.relation.ihupublicationcategory114
dc.relation.ispartofJournal of Cleaner Production
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectEnd-of-lLfe Vehicles
dc.subjectReverse Logistics
dc.subjectLocation Allocation Problem
dc.subjectFuzzy Linear Programming
dc.subjectIstanbul
dc.titleOptimization of reverse logistics network of End of Life Vehicles under fuzzy supply: A case study for Istanbul Metropolitan Area
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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