• DocumentCode
    2732170
  • Title

    Supply Chain Modeling using Fuzzy Sets and Possibility Theory in an Uncertain Environment

  • Author

    Lu, Chao ; Li, Xue Wei

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiao tong Univ., Beijing Jiao tong University
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3608
  • Lastpage
    3612
  • Abstract
    Managing a supply chain effectively is very difficult because various sources of uncertainty and complex interrelationships at various levels between various entities in the supply chain. Fuzzy set theory is used to model supply chain in an uncertain environment. This paper develops a new fuzzy supply chain model based on possibility theory to evaluate entire supply chain performances. The proposed model allows decision makers to express their risk attitudes and to analyze the trade-off between customer service level and inventory investment in the supply chain and to select suitable supply chain inventory strategies. An illustrative example validates the concept of this paper
  • Keywords
    fuzzy set theory; inventory management; possibility theory; supply chain management; uncertain systems; customer service level; fuzzy set theory; fuzzy supply chain model; inventory investment; possibility theory; supply chain inventory; supply chain management; uncertain environment; Customer service; Fuzzy set theory; Fuzzy sets; Investments; Performance evaluation; Possibility theory; Risk analysis; Supply chain management; Supply chains; Uncertainty; Fuzzy sets; Possibility theory; Supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713042
  • Filename
    1713042