• DocumentCode
    2855736
  • Title

    A clustering approach to the operational resilience analysis of key resource supply chains (KRSC): The case of fast Moving Consumer Goods

  • Author

    Trucco, P. ; Ward, D.

  • Author_Institution
    Dept. of Manage., Econ. & Ind. Eng., Politec. di Milano, Milan, Italy
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    990
  • Lastpage
    994
  • Abstract
    This paper presents a novel clustering approach to modeling interdependencies between critical infrastructures (CIs) and key resource supply chains. The approach is based on Fuzzy Cognitive Map (FCM) theory and the assessment of the impact of service disruption between infrastructures and relative supply chains. The authors discuss a pilot case study concerning the impact of infrastructure disruptions for different temporal frames (i.e. after one day, four days and three weeks) on the Fast Moving Consumer Goods (FMCG) supply chain. The study has been conducted affording a qualitative and cognitive approach based on expert elicitation. The paper concludes with a discussion of findings and current train of thought for future improvements of clustering approach.
  • Keywords
    fuzzy set theory; pattern clustering; supply chain management; clustering approach; cognitive approach; critical infrastructures; expert elicitation; fast moving consumer goods; fuzzy cognitive map theory; impact assessment; interdependency modeling; key resource supply chains; operational resilience analysis; qualitative approach; service disruption; temporal frames; Analytical models; Biological system modeling; Resilience; Solid modeling; Supply chains; Clustering; Critical Infrastructures; Fuzzy Cognitive Maps; Key Resource Supply Chains; Operational Resilience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118064
  • Filename
    6118064