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dc.contributor.authorYildizbasi, Abdullah and Calik, Ahmet and Paksoy, Turan and Zanjirani Farahani, Reza and Weber, Gerhard-Wilhelm
dc.date.accessioned2020-08-07T14:18:24Z
dc.date.available2020-08-07T14:18:24Z
dc.date.issued2018
dc.identifier10.3846/20294913.2016.1253044
dc.identifier.issn2029-4913
dc.identifier.urihttp://hdl.handle.net/20.500.12498/4577
dc.description.abstractClosed-Loop Supply Chain (CLSC) management has attained appreciable attention over the last few years. CLSC management allows companies to manage their recovery and recycling activities of end products. Due to the latest developments in the world, producers are responsible for the collection, refurbishing, repairing and disassembly of end products at the end of their lives. This paper develops a mixed-integer CLSC model that is inspired by the automotive industry. In this model, we consider three Decision Makers (DM): Plant, Dismantler Center and Customer. Each DM has individual objectives and is responsible for only its own objective function under same constraints. In order to tackle the trade-offs among the objectives, we used four different Interactive Fuzzy Programming (IFP) approaches. The applications of the model and solution techniques are investigated in conjectural data. The paper ends with a conclusion and a call for future studies.
dc.language.isoEnglish
dc.publisherVILNIUS GEDIMINAS TECH UNIV
dc.sourceTECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY
dc.titleMULTI-LEVEL OPTIMIZATION OF AN AUTOMOTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH INTERACTIVE FUZZY PROGRAMMING APPROACHES
dc.typeArticle


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