Fuzzy mathematical programming approaches for reverse supply chain optimization with disassembly line balancing problem

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dc.contributor.authorOzceylan, Eren
dc.contributor.authorPaksoy, Turan
dc.date.accessioned2020-03-26T18:50:52Z
dc.date.available2020-03-26T18:50:52Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractToday, the requirement of reverse supply chain (RSC) optimization takes more attention due to environmental and competitive factors. However, increasing attention and existing uncertainty in RSC also increases the difficulties for decisions of production/distribution planning. Therefore, considering strategic and tactical decisions together under fuzziness is being essential. This paper presents a fuzzy programming approach to the integration of RSC optimization (strategic level) and disassembly line balancing (DLB) (tactical level) problems. The aim of this study is to apply fuzzy modeling to optimize a RSC that involves customers, collection/disassembly centers and plants while balancing the disassembly lines in disassembly centers, simultaneously. Two types of fuzzy mathematical programming models with different aggregation operators are used. Finally, accuracy and applicability of the model is illustrated and a comparison of fuzzy approaches is done via a hypothetical example.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [111M040]; Selcuk University Scientific Research Project Fund (BAP)Selcuk University [12401048]en_US
dc.description.sponsorshipThe authors wish to thank the anonymous referees for their careful review of the manuscript; their suggestions have helped to improve the paper significantly. This research is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) with Grant No: 111M040 and by the Selcuk University Scientific Research Project Fund (BAP) with Grant No: 12401048. These funds are hereby gratefully acknowledged.en_US
dc.identifier.doi10.3233/IFS-130875en_US
dc.identifier.endpage1985en_US
dc.identifier.issn1064-1246en_US
dc.identifier.issn1875-8967en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1969en_US
dc.identifier.urihttps://dx.doi.org/10.3233/IFS-130875
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30885
dc.identifier.volume26en_US
dc.identifier.wosWOS:000332245500033en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIOS PRESSen_US
dc.relation.ispartofJOURNAL OF INTELLIGENT & FUZZY SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDisassembly line balancingen_US
dc.subjectfuzzy mathematical programmingen_US
dc.subjectnonlinear mixed integer programmingen_US
dc.subjectreverse supply chainen_US
dc.titleFuzzy mathematical programming approaches for reverse supply chain optimization with disassembly line balancing problemen_US
dc.typeArticleen_US

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