• DocumentCode
    2029713
  • Title

    A fuzzy-based commodity cluster analysis for Harbin Central-Red supermarket

  • Author

    Li, Yang ; Wang, Lihai

  • Author_Institution
    Logistics Eng. Dept., Northeast Forestry Univ., Harbin, China
  • Volume
    4
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    1592
  • Lastpage
    1596
  • Abstract
    By analyzing the related theory and methods commonly used by the current retailing enterprises, the main basis and influencing factors of commodity procurement under the supply chain environment can be affirmed. As well, classification of the commodity can be carried out according to 8 factors, such as price, delivering cycle, storage life, purchase quantity, sale quantity, transportation cost, seasonality and fragility. Further all commodities are to be classified on the basis of fuzzy clustering theory in combination with the Central-Red supermarket in Harbin. The results of classification can provide some preferences to make procurement plan for retailing enterprises, which enable these enterprises to seek economical and advanced procurement methods on their actual situations and needs.
  • Keywords
    fuzzy set theory; procurement; retailing; Harbin central-red supermarket; fuzzy-based commodity cluster analysis; procurement plan; retailing enterprises; supply chain environment; Classification algorithms; Clustering algorithms; Equations; Home appliances; Marketing and sales; Procurement; Transportation; commodity classification; fuzzy clustering algorithm; procurement management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569356
  • Filename
    5569356