Reverse supply chain optimisation with disassembly line balancing

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dc.contributor.authorOzceylan, Eren
dc.contributor.authorPaksoy, Turan
dc.date.accessioned2020-03-26T18:43:13Z
dc.date.available2020-03-26T18:43:13Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractDue to responding environmental issues, conforming governmental legislations and providing economic benefits, there has been a growing interest in recycling activities through the supply chains. Reverse supply chain (RSC) optimisation problem has a great potential as an efficient tactic to achieve this goal. While disassembly, one of the main activities in RSC, enables reuse and recycling of products and prevents the overuse, disassembly line balancing problem involves determination of a line design in which used products are partially/completely disassembled to obtain available components. The aim of this study is to optimise a RSC, involving customers, collection/disassembly centres and plants, that minimises the transportation costs while balancing the disassembly lines, which minimises the total fixed costs of opened workstations, simultaneously. A non-linear mixed-integer programming model, which simultaneously determines: (i) optimal distribution between the facilities with minimum cost, (ii) the number of disassembly workstations that will be opened with minimum cost, (iii) the cycle time in each disassembly centre and (iv) optimal assignment of tasks to workstations, is developed. A numerical example is given to illustrate the applicability of the proposed model. Different scenarios have been conducted to show the effects of sensitivity analyses on the performance measures of the problem.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.sponsorshipWe are grateful to the editor-in-chief and the anonymous referees for their constructive comments and suggestions to help improve our work. We gratefully acknowledge the support of grants from (i) Scientific and Technological Research Council of Turkey (TUBITAK) with Grant No: 111M040 and (ii) Selcuk University Scientific Research Project Fund (BAP) with Grant No: 12401048.en_US
dc.identifier.doi10.1080/00207543.2013.784405en_US
dc.identifier.endpage6001en_US
dc.identifier.issn0020-7543en_US
dc.identifier.issn1366-588Xen_US
dc.identifier.issue20en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage5985en_US
dc.identifier.urihttps://dx.doi.org/10.1080/00207543.2013.784405
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29789
dc.identifier.volume51en_US
dc.identifier.wosWOS:000327867500001en_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.subjectreverse supply chain optimisationen_US
dc.subjectdisassembly line balancingen_US
dc.subjectnon-linear mixed integer programmingen_US
dc.titleReverse supply chain optimisation with disassembly line balancingen_US
dc.typeArticleen_US

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