• DocumentCode
    2907921
  • Title

    Feature-based unsupervised clustering for supplier categorization

  • Author

    Irfan, Danish ; Xiaofei, Xu ; Shengchun, Deng ; Yunming, Ye

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Harbin Inst. of Technol., Harbin
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    2072
  • Lastpage
    2076
  • Abstract
    This paper outlines the feature-based unsupervised clustering for supplier categorization. Traditionally, when categorizing suppliers, companies have considered factors such as price, quality, flexibility etc. An enterprise is considered for design and manufacture with the objective of acquiring & developing a sophisticated technological base for systems and enlarging & expanding production of components. In this scenario, our intuition lies in supplier categorization based upon the selected features of suppliers. Lastly, we present results of segmentation of supplier data.
  • Keywords
    information technology; manufacturing data processing; pattern clustering; supply chain management; feature-based unsupervised clustering; supplier categorization; supplier data segmentation; Clustering methods; Companies; Computer science; Costs; Data envelopment analysis; Information technology; Manufacturing; Performance analysis; Production systems; Research and development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630655
  • Filename
    4630655