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MULTI-LEVEL OPTIMIZATION OF AN AUTOMOTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH INTERACTIVE FUZZY PROGRAMMING APPROACHES

Yildizbasi, Abdullah; Calik, Ahmet; Paksoy, Turan; Zanjirani Farahani, Reza; Weber, Gerhard-Wilhelm


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/110810</identifier>
  <creators>
    <creator>
      <creatorName>Yildizbasi, Abdullah</creatorName>
      <givenName>Abdullah</givenName>
      <familyName>Yildizbasi</familyName>
      <affiliation>Yildirim Beyazit Univ, Ind Engn, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Calik, Ahmet</creatorName>
      <givenName>Ahmet</givenName>
      <familyName>Calik</familyName>
      <affiliation>KTO Karatay Univ, Logist Management, TR-42020 Konya, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Paksoy, Turan</creatorName>
      <givenName>Turan</givenName>
      <familyName>Paksoy</familyName>
      <affiliation>Selcuk Univ, Dept Ind Engn, Konya, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Zanjirani Farahani, Reza</creatorName>
      <givenName>Reza</givenName>
      <familyName>Zanjirani Farahani</familyName>
      <affiliation>Kingston Business Sch, Dept Management, Kingston Hill, Kingston Upon Thames, Surrey, England</affiliation>
    </creator>
    <creator>
      <creatorName>Weber, Gerhard-Wilhelm</creatorName>
      <givenName>Gerhard-Wilhelm</givenName>
      <familyName>Weber</familyName>
      <affiliation>Middle East Tech Univ, Intitute Appl Math, TR-06800 Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Multi-Level Optimization Of An Automotive Closed-Loop Supply Chain Network With Interactive Fuzzy Programming Approaches</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/110810</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.3846/20294913.2016.1253044</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="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.</description>
  </descriptions>
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