• DocumentCode
    2449207
  • Title

    Selection of Suppliers Based on BP Neutral Networks and Grey Correlation Analysis

  • Author

    Chen, Ke ; Xuan, Zhongliang ; Shang, Xianlian

  • Author_Institution
    Comput. Eng. Dept., Suzhou Vocational Univ., Suzhou, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    268
  • Lastpage
    271
  • Abstract
    Supplier selection in industry is a cross-functional, group decision-making problem, frequently solved by a non-programmed decision-making process, and involving long-term commitment for a company. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially, some decision-making data is undefined, vague and fuzzy data. Especially the determination of weight for supplier selection is very difficult. Considering these circumstances, in this paper, at first we transform the triangular fuzzy numbers into crisp date, and then we use the BP neutral networks to calculate the weight of indexes for supplier selection, the weight we obtained is reliable and reasonable, considering the suitability of grey correlation analysis for supplier selection problem, we use the grey correlation analysis to select the best supplier, Finally, an empirical study is conducted to demonstrate the procedure of the proposed system and identify the suitable supplier.
  • Keywords
    backpropagation; decision making; fuzzy set theory; grey systems; neural nets; supply chain management; BP neutral network; cross-functional group decision-making; grey correlation analysis; supplier selection; supply chain; triangular fuzzy number; Artificial intelligence; Computer industry; Computer networks; Data envelopment analysis; Decision making; Fuzzy set theory; Fuzzy systems; Humans; Supply chains; Uncertainty; BP neutral networks; Supplier selection; grey correlation analysis;
  • 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.2009.52
  • Filename
    5158991