• DocumentCode
    3017523
  • Title

    A biological inspired multi-agent based shop floor control architecture for manufacturing systems

  • Author

    El-Kebbe, Dania Adnan ; Gomez-Fernandez, Juan

  • Author_Institution
    Heinz-Nixdorf Inst., Paderborn
  • fYear
    2008
  • fDate
    15-18 Sept. 2008
  • Firstpage
    249
  • Lastpage
    252
  • Abstract
    Complex social systems in nature and large manufacturing systems show several similarities. Not only do both of them follow similar principles focusing on the same goal, but also both consist of a large number of entities and the collaboration between those is as complex as dynamic. This paper introduces a multi-agent based shop floor control architecture inspired by the social behavior within natural systems. The proposed layout considers the production of periodic parts as well as the production of aperiodic arising parts. It is able to react dynamically on changes of the external environment in the way that the introduced architecture utilizes special techniques to incorporate new production cells into the existing shop floor structure at runtime. By introducing special mechanisms, the system also shows self-healing capabilities in case of a machine failure.
  • Keywords
    failure (mechanical); manufacturing systems; multi-agent systems; production engineering computing; production management; biological inspired multiagent; complex social systems; machine failure; manufacturing systems; self-healing capabilities; shop floor control architecture; Autonomous agents; Biological control systems; Collaboration; Computer architecture; Concrete; Control systems; Manufacturing systems; Production planning; Runtime environment; Transport protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2008. ETFA 2008. IEEE International Conference on
  • Conference_Location
    Hamburg
  • Print_ISBN
    978-1-4244-1505-2
  • Electronic_ISBN
    978-1-4244-1506-9
  • Type

    conf

  • DOI
    10.1109/ETFA.2008.4638402
  • Filename
    4638402