• DocumentCode
    2611934
  • Title

    Supply chain risk analysis with fuzzy cognitive maps

  • Author

    Feyzioglu, O. ; Buyukozkan, G. ; Ersoy, M.S.

  • Author_Institution
    Galatasaray Univ., Istanbul
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    1447
  • Lastpage
    1451
  • Abstract
    To achieve continuous customer satisfaction and sustain competency, a company must identify, evaluate, rank, and manage its supply chain risks. These risk factors and system components are linked in a complicated manner via direct and indirect relationships. This study suggests a systematic way of analyzing supply chain risks using a cognitive map (CM) approach. CMs have proven particularly useful for solving problems in which a number of decision variables and uncontrollable variables are causally interrelated.
  • Keywords
    customer satisfaction; risk analysis; supply chains; CM approach; continuous customer satisfaction; decision variables; fuzzy cognitive maps; supply chain risk analysis; uncontrollable variables; Collaboration; Collision mitigation; Fuzzy cognitive maps; Logistics; Procurement; Risk analysis; Risk management; Safety; Supply chain management; Supply chains; fuzzy cognitive maps; risk management; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1529-8
  • Electronic_ISBN
    978-1-4244-1529-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2007.4419432
  • Filename
    4419432