• DocumentCode
    3452287
  • Title

    Measure Product-Driven Supply Chain Performance Using MEOWA

  • Author

    Min Zhou ; Jia-zhen Huo

  • Author_Institution
    Sch. of Econ. & Manage., Tongji Univ., Shanghai
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We hold that supply chain strategy should match with product characteristics; moreover performance measurement system should be designed to reflect the match, which increases the complexity of the aggregation and assessment process. This paper describes the differences between agile and lean supply chain characteristics driven by different product strategies. Then, a method of Maximum Entropy OWA (MEOWA) operator with fuzzy linguistic quantifier is presented to satisfy the complexity during the match of supply chain and product strategies. The method presented in this paper is applicable and easy to be applied.
  • Keywords
    fuzzy set theory; maximum entropy methods; supply chain management; fuzzy linguistic quantifier; maximum entropy OWA; performance measurement system; product-driven supply chain; Arithmetic; Calculus; Constraint optimization; Decision making; Entropy; Fuzzy logic; Measurement; Open wireless architecture; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1489
  • Filename
    4679397