• DocumentCode
    3458271
  • Title

    Fuzzy Clustering Analysis of Mass Customized Product Requirement

  • Author

    He, Xuefeng ; Jing, Yuewu

  • Author_Institution
    Sch. of Econ. & Manage., Southwest Univ. of Sci. & Technol., Mianyang
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The satisfaction degree of customer´s requirement is a key to the success or failure of an enterprise. In order to implement Mass Customization successfully, the important question the enterprises encounter is to understand and analyze accurately customer´s requirements for the customized products. At present the study of requirement is mostly confined to the requirement investigation and requirement acquisition method, etc., but little has been found on requirement clustering analysis. From the angle of counter market segmentation theory and the production mode, the necessity of the clustering analysis of product requirement is analyzed. With a certain type product as an example, the product requirement has been clustered using the method of fuzzy clustering, whereby a theoretical guidance can be provided for the enterprise to grasp the customers´ diversified and individualized requirements accurately.
  • Keywords
    customer satisfaction; fuzzy set theory; pattern classification; counter market segmentation theory; customers requirement satisfaction; fuzzy clustering analysis; mass customized product requirement; requirement acquisition method; Counting circuits; Flexible manufacturing systems; Helium; Mass customization; Physics; Product design; Product development; Production; Technological innovation; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1793
  • Filename
    4679982