• DocumentCode
    3476896
  • Title

    Optimize E-Commerce Supply Chain Based on the Fuzzy Clustering Analysis

  • Author

    Meng, Wanhua

  • Author_Institution
    Shaoxing Arts & Sci. Coll., Shaoxing
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    2535
  • Lastpage
    2539
  • Abstract
    Performance evaluation of supply chain is a newly sprung up research field, and especially the performance evaluation of the e-commerce supply chain is sure to be a new trend in this field. The paper, based on the fuzzy theory, establishes a model of performance evaluation of fuzzy unity, which makes full use of fuzzy clustering analysis to classify and evaluate multiple e-commerce supply chains. And then the paper shows how to apply the evaluation method by giving a sample of analysis. The paper tries to put forward an evaluation method combining the quantitative and qualitative analysis to optimize e-commerce supply chains.
  • Keywords
    electronic commerce; fuzzy set theory; pattern clustering; statistical analysis; supply chains; e-commerce supply chain; fuzzy clustering analysis; fuzzy theory; fuzzy unity; Automation; Business communication; Costs; Information technology; Logistics; Manufacturing; Marketing and sales; Performance analysis; Supply chain management; Supply chains; E-Commerce; Fuzzy; clustering analysis; performance evaluation; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4339006
  • Filename
    4339006