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.contributor.authorKuşakçı, Ali Osman
dc.contributor.authorAyvaz, Berk
dc.contributor.authorCin, Emine
dc.contributor.authorAydın, Nezir
dc.date.accessioned2020-11-21T15:53:38Z
dc.date.available2020-11-21T15:53:38Z
dc.date.issued2019en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
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. © 2019 Elsevier Ltden_US
dc.identifier.doi10.1016/j.jclepro.2019.01.090en_US
dc.identifier.endpage1051en_US
dc.identifier.issn0959-6526
dc.identifier.scopus2-s2.0-85060187724en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1036en_US
dc.identifier.urihttps://doi.org/10.1016/j.jclepro.2019.01.090
dc.identifier.urihttps://hdl.handle.net/11467/3642
dc.identifier.volume215en_US
dc.identifier.wosWOS:000459358300088en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofJournal of Cleaner Productionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnd-of-life vehiclesen_US
dc.subjectFuzzy linear programmingen_US
dc.subjectIstanbulen_US
dc.subjectLocation allocation problemen_US
dc.subjectReverse logisticsen_US
dc.titleOptimization of reverse logistics network of End of Life Vehicles under fuzzy supply: A case study for Istanbul Metropolitan Areaen_US
dc.typeArticleen_US

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