• DocumentCode
    2796311
  • Title

    Development of a supplier selection approach from the viewpoint of the entire supply chain

  • Author

    Hwang, Ming-hon ; Rau, Hsin

  • Author_Institution
    Dept. of Inf. Manage., Diwan Coll. of Manage., Madou
  • Volume
    7
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    3938
  • Lastpage
    3945
  • Abstract
    Many research experts and industry executives point out that the industry competition is not only between enterprises, but also between supply chains. With tight connections and cooperation between supply chain members, the supply chain can increase values for end customers and gains competitive advantage. Meanwhile, such relationships also create win-win situations among supply chain members. Thus, selecting supply chain members which includes supplier selection is a very important task in the supply chain management. Many studies have mentioned the importance of supplier selection in supply chain management, and have established methods and criteria for supplier selection. However, few studies considered the supplier selection from the perspective of the entire supply chain. Thus, this study proposes a new supplier selection approach that considers the entire supply chain in order to maximize the performance of the entire supply chain. We believe that our approach can be served as a supplier selection tool for improving supply chain performance.
  • Keywords
    genetic algorithms; supply chain management; industry competition; supplier selection tool; supply chain management; Costs; Cybernetics; Genetic algorithms; Industrial relations; Information management; Machine learning; Performance evaluation; Productivity; Supply chain management; Supply chains; Genetic algorithm; Supplier selection; Supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4621091
  • Filename
    4621091