• DocumentCode
    2449706
  • Title

    A New Method of Selecting Supplier

  • Author

    Wu, Shaofei

  • Author_Institution
    Sch. of Comput. Sci. & Eng., WuHan Inst. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    370
  • Lastpage
    372
  • Abstract
    Supplier´s quality not only influences manufacture enterprise´s achievement, but also determines the successful operation of entire supply chain. How to choose supplier scientifically and efficiently, and make stout supply chain system, have become a key point for the manufacture enterprise´s decision-making day after day. Some methods have been proposed to select supplier such as neural network and genetic algorithm. These methods are affected by the quantity of supplierpsilas attributes. A new method of selecting supplier in supply chain is presented that can solve the problem effectively.
  • Keywords
    decision making; manufacturing systems; quality management; supply chain management; decision making; manufacture enterprise achievement; supplier quality; supply chain system; Artificial intelligence; Computer science; Data analysis; Data envelopment analysis; Genetic algorithms; Information systems; Neural networks; Rough sets; Supply chain management; Supply chains; selecting; supplier; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3615-6
  • Type

    conf

  • DOI
    10.1109/JCAI.2009.108
  • Filename
    5159018