• DocumentCode
    2410292
  • Title

    Multi-agent System Developed for the Logistics Supply Chain Coordination and Risk Management

  • Author

    Wang, Yan-Ling ; Ye, Su-Wen ; Yan, Guo-Qing

  • Author_Institution
    Zhejiang Wanli Univ., Ningbo, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    3243
  • Lastpage
    3246
  • Abstract
    Logistics supply chain management has become more and more important for modern businesses, especially for the major retailing corporations, and logistics supply chain management has become part of the senior management agenda in the manufacturing and retailing industries. Multi-agent system, which can effectively process distributed large scale data, is developed to coordinate the logistics supply chain and thus to manage the risk for the major retailing corporation when its warehouses and cross-docks had been opened and operated in this paper. The proposed multi-agent system adaptively changes over time when new organizations become involved and other disappear. The proposed multi-agent system increases the level of flexibility in the supply chain and enables supply chain members to be more responsive, thus has a positive impact on the ordering lead-time, human processing time, the inventory levels and number of stock-outs.
  • Keywords
    logistics data processing; multi-agent systems; risk management; supply chain management; cross-dock; logistics; manufacturing industry; multi-agent system; retailing industry; risk management; supply chain management; warehouse; Multiagent systems; Organizations; Risk management; Supply chain management; Supply chains; Coordination; Logistics Supply Chain; Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.816
  • Filename
    5591377