• DocumentCode
    3316614
  • Title

    Research on Supply Chain Management Using Multi-Agent System Based on Ant Colony Algorithm

  • Author

    Zhao, Xiang ; Huang, Hou Kuan ; Shao, Chong

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2010
  • fDate
    23-25 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Supply chain management has become a very important economic topic. In this paper, we use multi-agent system to solve this problem. But how to control the supply chain links in the various details and how to manage the supply chain optimization effectively is a very difficult issue. We use ant colony optimization algorithm and rational multi-agent model of supply chain management to solve the supply chain management problem effectively. The experiment shows this method is better than normal method.
  • Keywords
    multi-agent systems; optimisation; supply chain management; ant colony algorithm; multi-agent system; supply chain management; supply chain optimization; Ant colony optimization; Costs; Information security; Information technology; Linear programming; Multiagent systems; Space technology; Supply chain management; Supply chains; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
  • Conference_Location
    Ternopil
  • Print_ISBN
    978-1-4244-6972-7
  • Electronic_ISBN
    978-1-4244-6974-1
  • Type

    conf

  • DOI
    10.1109/IEEC.2010.5533241
  • Filename
    5533241