• DocumentCode
    120158
  • Title

    Improved FMEA Application to Evaluation of Supply Chain Vulnerability

  • Author

    Jiaguo Liu ; Yuexiang Zhou

  • Author_Institution
    Sch. of Econ. & Manage., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    302
  • Lastpage
    306
  • Abstract
    How to find out the vulnerability and the potential failure mode in supply chain, then evaluating them means much to the protection and controlling of supply chain risks. Based on the supply chain reference operation model SCOR, this paper first gets the evaluation index system and the corresponding potential failure mode, then combined with the fuzzy set theory and grey relational theory, constructs evaluation model of supply chain vulnerability considering the index weight of all levels and the decision factors weight, and finally uses the evaluation model into some enterprises for empirical study. The result shows that the model can provide practical process guidance for enterprise in supply chain vulnerability evaluation and have practical value in management of supply chain vulnerability.
  • Keywords
    decision theory; failure analysis; fuzzy set theory; grey systems; risk management; supply chain management; FMEA application; SCOR; decision factor weight; evaluation index system; failure mode and effect analysis; fuzzy set theory; grey relational theory; index weight; potential failure mode; supply chain reference operation model; supply chain risk control; supply chain risk protection; supply chain vulnerability evaluation; supply chain vulnerability management; Companies; Correlation; Fuzzy set theory; Indexes; Manufacturing; Semantics; Supply chains; FMEA; evaluation model; supply chain; vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.63
  • Filename
    6923690