MULTI-LEVEL OPTIMIZATION OF AN AUTOMOTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH INTERACTIVE FUZZY PROGRAMMING APPROACHES
dc.contributor.author | Yildizbasi, Abdullah | |
dc.contributor.author | Calik, Ahmet | |
dc.contributor.author | Paksoy, Turan | |
dc.contributor.author | Zanjirani Farahani, Reza | |
dc.contributor.author | Weber, Gerhard-Wilhelm | |
dc.date.accessioned | 2020-03-26T19:54:44Z | |
dc.date.available | 2020-03-26T19:54:44Z | |
dc.date.issued | 2018 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description.abstract | Closed-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. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) (International Postdoctoral Research Fellowship Program) | en_US |
dc.description.sponsorship | In carrying out this study the corresponding author (T. Paksoy) is granted by the Scientific and Technological Research Council of Turkey (TUBITAK) (International Postdoctoral Research Fellowship Program). This fund is hereby gratefully acknowledged. | en_US |
dc.identifier.doi | 10.3846/20294913.2016.1253044 | en_US |
dc.identifier.endpage | 1028 | en_US |
dc.identifier.issn | 2029-4913 | en_US |
dc.identifier.issn | 2029-4921 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 1004 | en_US |
dc.identifier.uri | https://dx.doi.org/10.3846/20294913.2016.1253044 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/36786 | |
dc.identifier.volume | 24 | en_US |
dc.identifier.wos | WOS:000442131100010 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | VILNIUS GEDIMINAS TECH UNIV | en_US |
dc.relation.ispartof | TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | automotive industry | en_US |
dc.subject | closed-loop supply chain | en_US |
dc.subject | interactive fuzzy programming | en_US |
dc.subject | multi-level programming | en_US |
dc.subject | mixed-integer linear programming | en_US |
dc.title | MULTI-LEVEL OPTIMIZATION OF AN AUTOMOTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH INTERACTIVE FUZZY PROGRAMMING APPROACHES | en_US |
dc.type | Article | en_US |