• DocumentCode
    1770066
  • Title

    A hybrid approach combining fuzzy consensus-based possibility measure and TOPSIS: Application to the plant selection problem

  • Author

    Igoulalene, Idris ; Benyoucef, Lyes

  • Author_Institution
    LSIS, Aix-Marseille Univ., Marseille, France
  • fYear
    2014
  • fDate
    1-3 May 2014
  • Firstpage
    286
  • Lastpage
    291
  • Abstract
    The current complexity of supply chains (SC) activities requires the need for coordination between supply chains partners to maximize the efficiency. This paper addresses the development of a new hybrid approach for the selection problem. The problem is formulated as a multi-expert multi-criteria (MEMC) decision making problem and solved by combining consensus-based possibility measure with TOPSIS method in a fuzzy environment. To demonstrate the applicability of the proposed approach, a simple example of plant selection problem is presented and the numerical results analyzed.
  • Keywords
    TOPSIS; fuzzy set theory; supply chain management; MEMC; TOPSIS; fuzzy consensus-based possibility measure; multiexpert multicriteria decision making problem; plant selection problem; supply chain complexity; supply chain partners coordination; Decision making; Equations; Joints; Radio frequency; Supply chain management; Supply chains; Supply chain coordination; consensus; fuzzy TOPSIS; multi-criteria; multi-expert; possibility measure; selection problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Logistics and Transport (ICALT), 2014 International Conference on
  • Conference_Location
    Hammamet
  • Type

    conf

  • DOI
    10.1109/ICAdLT.2014.6866326
  • Filename
    6866326