• DocumentCode
    2064889
  • Title

    Integrated multi-agent-based supply chain management

  • Author

    Frey, Daniel ; Woelk, Peer-Oliver ; Stockheim, Tim ; Zimmermann, Roland

  • Author_Institution
    Inst. of Process Control & Robotics, Univ. Karlsruhe, Germany
  • fYear
    2003
  • fDate
    9-11 June 2003
  • Firstpage
    24
  • Lastpage
    29
  • Abstract
    Multi-agent systems (MAS) offer new perspectives compared to conventional, centrally organized architectures in the scope of supply chain management (SCM). Their structure inherently meets the requirements of decentralized supply chains, whereas conventional SCM systems are often restricted in terms of dynamic behavior, handling severe disturbances at supplier sites as well as dealing with highly customized or complex products. Since necessary data are not available within the whole supply chain, an integrated approach for production planning and control taking into account all the partners involved is not feasible. In this paper, a MAS architecture integrating various intelligent agent systems is presented to address the problem.
  • Keywords
    multi-agent systems; supply chain management; MAS architecture; dynamic behavior; handling severe disturbances; integrated SCM architecture; intelligent agent systems; multiagent systems; supply chain management; Companies; Job shop scheduling; Logistics; Management information systems; Manufacturing; Multiagent systems; Process planning; Production planning; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enabling Technologies: Infrastructure for Collaborative Enterprises, 2003. WET ICE 2003. Proceedings. Twelfth IEEE International Workshops on
  • ISSN
    1080-1383
  • Print_ISBN
    0-7695-1963-6
  • Type

    conf

  • DOI
    10.1109/ENABL.2003.1231377
  • Filename
    1231377