• DocumentCode
    1521610
  • Title

    Control methodology for FMS

  • Author

    Ben-Arieh, D.H. ; Moodie, C.L. ; Chu, Chi-Chung

  • Author_Institution
    AT&T Bell Labs., Columbus, OH, USA
  • Volume
    4
  • Issue
    1
  • fYear
    1988
  • fDate
    2/1/1988 12:00:00 AM
  • Firstpage
    53
  • Lastpage
    59
  • Abstract
    Intelligent real-time control of a flexible manufacturing system (FMS) is a complicated task. The scheduling of machines and routing of jobs are nonpolynomial problems that have to be solved fast and accurately to obtain the advantages of an FMS. Such control is done hierarchically: part routing is considered in the cell level and the equipment control strategy is reviewed in the workstation level. Two methods of controlling an FMS are described, one for each level. The one that controls the workstation equipment utilizes a decision tables in which the system states are correlated to the decision variables. The method that routes parts between the machines in the cell uses a knowledge base that stores facts about the facility and recognizes evidence to generate a decision. Both methods are presented, along with results from simulation experiments
  • Keywords
    expert systems; flexible manufacturing systems; production control; scheduling; FMS; decision variables; flexible manufacturing system; job routeing; knowledge base; machine scheduling; operations research; part routing; production control; real-time control; workstation; Computational modeling; Control systems; Decision support systems; Flexible manufacturing systems; Industrial engineering; Job shop scheduling; Manufacturing systems; Real time systems; Routing; Workstations;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0882-4967
  • Type

    jour

  • DOI
    10.1109/56.771
  • Filename
    771