• DocumentCode
    791421
  • Title

    Synthesis using resource control nets for modeling shared-resource systems

  • Author

    Jeng, Mu Der ; DiCesare, Frank

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
  • Volume
    11
  • Issue
    3
  • fYear
    1995
  • fDate
    6/1/1995 12:00:00 AM
  • Firstpage
    317
  • Lastpage
    327
  • Abstract
    This paper proposes a general approach to synthesize a class of Petri nets that model shared-resource automated manufacturing systems. The approach imposes minimal restrictions on the interactions among subsystems initially so that the modeler is given significant freedom. To modularize the synthesis procedure, a shared-resource system is formulated from the processes. i.e., the subsystems, that control the system resources and the interactions among the processes. For modeling the processes. Resource control nets are defined as the basic generic modules. Then, the system model is built by merging these modules through their common transitions and common transition subnets, which denote the interactions among the processes. The merged net is proven to be conservative and thus bounded. An algorithm is also developed to check two sufficient conditions for structural liveness of the net. This algorithm examines only the net´s structure, and appears to be more efficient than state enumeration techniques such as the reachability graph method
  • Keywords
    Petri nets; manufacturing processes; modelling; operations research; production control; resource allocation; Petri nets; automated manufacturing systems; generic modules; modeling; production control; resource control nets; shared-resource systems; sufficient conditions; Automatic control; Computer aided manufacturing; Computer integrated manufacturing; Control system synthesis; Manufacturing systems; Performance analysis; Petri nets; Process control; Productivity; Technology transfer;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.388774
  • Filename
    388774