• DocumentCode
    3451812
  • Title

    A Study on Networked Manufacturing-Based Supplier Selecting Decision

  • Author

    Tang, Liang ; Liang, Shuang ; Ding, Junmei ; Shu, Chong ; Wang, Wasnshan

  • Author_Institution
    Dept. of Mech. Eng. & Autom., Northeastern Univ., Shenyang
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Supplier selection is the precondition to implement networked manufacturing. There are three kinds of the evaluation indexes: accurate number type, interval number type and fuzzy number type, so the TOPSIS mixed multidimensional decision-making method was used. There are some evaluation factors such as price, quality, network information level, networked condition and credit in supplier selecting. The Java technique was used when developing the supplier selecting system platform, and the system contains three layers: EJB layer, Web layer, General data processing layer. It employs the B/S(Browser/Server) structure. The actual effect of this system proved that the system can help the enterprise to select and manage suppliers well.
  • Keywords
    Java; fuzzy set theory; manufacturing systems; production engineering computing; supply chain management; Java technique; TOPSIS; Web layer; general data processing layer; mixed multidimensional decision-making method; network information level; networked manufacturing; supplier selecting system platform; supplier selection decision; Costs; Data processing; Decision making; Java; Management information systems; Manufacturing automation; Manufacturing industries; Mechanical engineering; Multidimensional systems; Production systems;
  • 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.2008.1460
  • Filename
    4679368