Fuzzy multi-objective linear programming approach for optimising a closed-loop supply chain network

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dc.contributor.authorOzceylan, Eren
dc.contributor.authorPaksoy, Turan
dc.date.accessioned2020-03-26T18:42:02Z
dc.date.available2020-03-26T18:42:02Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractWith the urgency of remanufacturing and environmental concerns, closed-loop supply chain (CLSC) networks have drawn the attention of researchers. Although there are many CLSC network models in the literature, most of them do not consider uncertainty in general terms. However, practical situations are often not well defined and thus cannot be described precisely in real world CLSCs. In this paper a mixed integer fuzzy mathematical model is proposed for a CLSC network which includes both forward and reverse flows with multiple periods and multiple parts. A fuzzy multi-objective model (FMOM) approach is applied to take into account the fuzziness in the capacity, objectives, demand constraints and also in the reverse rates. Computational results are presented for a number of scenarios to show and validate applicability and flexibility of the model. Results show that the proposed model presents a systematic framework which enables the logistics manager (LM) to adjust the search direction during the solution procedure to obtain a desired satisfactory solution.en_US
dc.description.sponsorshipSelcuk University Scientific Research Project Fund (BAP)Selcuk University; Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [111M040]en_US
dc.description.sponsorshipThe authors express their gratitude to the two anonymous reviewers for valuable comments on the paper. In carrying out this research, the authors have been supported by the Selcuk University Scientific Research Project Fund (BAP) and the Scientific and Technological Research Council of Turkey (TUBITAK) with grant number 111M040. These funds are hereby gratefully acknowledged.en_US
dc.identifier.doi10.1080/00207543.2012.740579en_US
dc.identifier.endpage2461en_US
dc.identifier.issn0020-7543en_US
dc.identifier.issn1366-588Xen_US
dc.identifier.issue8en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2443en_US
dc.identifier.urihttps://dx.doi.org/10.1080/00207543.2012.740579
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29534
dc.identifier.volume51en_US
dc.identifier.wosWOS:000315460200016en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTAYLOR & FRANCIS LTDen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF PRODUCTION RESEARCHen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectclosed-loop supply chainen_US
dc.subjectfuzzy multi-objective programmingen_US
dc.subjectmixed integer linear programmingen_US
dc.subjectmulti-perioden_US
dc.titleFuzzy multi-objective linear programming approach for optimising a closed-loop supply chain networken_US
dc.typeArticleen_US

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