• DocumentCode
    2885504
  • Title

    An Agent-Based Architecture for Suply Chain Management

  • Author

    Dong, Shao-hui ; Xi, Bao ; Tian, Li-na ; Huang, Qiu-guo ; Chen, Hong-xia

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    137
  • Lastpage
    141
  • Abstract
    In process of SCM, the information is distributed and heterogeneous in nature. And the decisions are often optimized locally but do not assure a global optimization for the whole supply chain. To address these problems, an agent-based architecture has been developed which viewed SCM as consisted of flows and agents two objects. And the agents were classified into structural and functional agents to represent the entities and activities in SCM. In the architecture, the KQML has been used to realize the coordination among the agents. To illustrate the architecture, a SWARM-based simulation work has been proposed and the results implied that the architecture provides a very efficient platform to design and optimize the supply chain, and in cost saving, improve order processing, shorten lead-time, and improve customer satisfaction has played a very important role
  • Keywords
    multi-agent systems; supply chain management; agent-based architecture; customer satisfaction; order processing; supply chain management; Conference management; Constraint optimization; Cost function; Customer satisfaction; Cybernetics; Design optimization; Educational institutions; Intelligent agent; Machine learning; Multiagent systems; Supply chain management; Supply chains; Technology management; Supply chain management; coordination; intelligent agents; simulation; supply chain modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258885
  • Filename
    4028046