• DocumentCode
    1101438
  • Title

    Analysis of Flexible Assembly Processes Based on Structural Decomposition of Petri Nets

  • Author

    Hsieh, Fu-Shiung

  • Author_Institution
    Chaoyang Univ. of Technol., Taichung
  • Volume
    37
  • Issue
    5
  • fYear
    2007
  • Firstpage
    792
  • Lastpage
    803
  • Abstract
    We propose a controlled assembly Petri net with alternative route (CAPN-AR) model for a class of flexible assembly processes with alternative routes and unreliable resources. Alternative routes significantly enhance the reliability through the routing flexibility of the system. It is not required for a CAPN-AR to be live to maintain production. For this reason, we propose the concept of persistent production for the CAPN-AR. However, alternative routes also add complexity to the analysis of the systems. As the PNs grow rapidly with the scale of the problem, an existing reachability-tree method is feasible only for small nets. We propose an analysis method that can scale with the problems based on structural decomposition of the CAPN-AR. We study the conditions for persistent production, propose a deadlock avoidance algorithm with polynomial complexity for CAPN-AR, and access its robustness property with respect to resource failures.
  • Keywords
    Petri nets; assembling; computational complexity; concurrency control; manufacturing systems; Petri nets; alternative route; controlled assembly Petri net; deadlock avoidance; flexible assembly; polynomial complexity; reachability-tree method; structural decomposition; Assembly systems; Automatic control; Fault tolerant systems; Maintenance; Petri nets; Polynomials; Production; Robustness; Routing; System recovery; Deadlock; Petri nets (PNs); decomposition; fault tolerant; flexible assembly system; robustness;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/TSMCA.2007.902651
  • Filename
    4292219