• DocumentCode
    857715
  • Title

    A deadlock avoidance approach for nonsequential resource allocation systems

  • Author

    Ezpeleta, Joaquín ; Recalde, Laura

  • Author_Institution
    Dept. de Informatica e Ingenieria de Sistemas, Univ. of Zaragoza, Spain
  • Volume
    34
  • Issue
    1
  • fYear
    2004
  • Firstpage
    93
  • Lastpage
    101
  • Abstract
    The paper concentrates on the deadlock-avoidance problem for a class of resource allocation systems modeling manufacturing systems. In these systems, a set of production orders have to be executed in a concurrent way. To be executed, each step of each production order needs a set of reusable system resources. The competition for the use of these resources can lead to deadlock problems. Many solutions, from different perspectives, can be found in the literature for deadlock-related problems when the production orders have a sequential nature [sequential resource allocation systems (S-RAS)]. However, in the case in which the involved processes have a nonsequential nature [nonsequential resource allocation systems (NS-RAS)], the problem becomes more complex. In this paper, we propose a deadlock avoidance algorithm for this last class of systems. We also show the usefulness of the proposed solution by means of its application to a real system.
  • Keywords
    assembling; flexible manufacturing systems; production control; reachability analysis; resource allocation; complex systems; concurrent production; deadlock avoidance approach; flexible manufacturing systems; nonsequential resource allocation systems; reusable system resources; Assembly systems; Control system synthesis; Manufacturing systems; Modeling; Petri nets; Production systems; Resource management; Routing; State-space methods; System recovery;
  • 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.2003.820575
  • Filename
    1259437