• DocumentCode
    495136
  • Title

    Production Control Modeling of Integrated RE System Based on MAS

  • Author

    Chen, Xue-Fang ; Sun, Chun-Hua

  • Author_Institution
    Dept. of Mechano-Electron. Eng., Suzhou Vocational Univ., Suzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    To improve the intelligent and cooperative performance of the integrated reverse engineering system, a control model based on the architecture of Multi-Agent System (MAS) was constructed. This model consisted of three layers: the management Agent layer, the cell Agent layer and the execution Agent layer. The management Agent layer was in charge of coordinating, scheduling and managing all Agents. Each Agent in the cell Agent layer finished the task by cooperation and executed the first step of distribution. The execution Agent layer was responsible for the hardware and software in RE system. According to the local resources information and current status, it accepted the tasks assigned by the cell Agents and resolved the tasks. Agents in the same layer were in distributed structure and equal cooperation. The superior and subordinate Agents adopted the master and menial cooperation. The control model based on MAS improved the cooperative and real-time and reconstructive performance.
  • Keywords
    multi-agent systems; production control; reverse engineering; cell agent layer; cooperative performance; execution agent layer; management agent layer; multiagent system; production control modeling; reverse engineering system; CADCAM; Computer aided engineering; Computer aided manufacturing; Costs; Design automation; Machining; Multiagent systems; Production control; Prototypes; Reverse engineering; Reverse Engineering; integrated manufacturing system; multi-Agent system; production control modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.57
  • Filename
    5169574