• DocumentCode
    2584454
  • Title

    Reference traces by simulation for Tracking Control-logic

  • Author

    Trujillo, Jesus ; Pawlewsky, Pawel ; Pasek, Zbigniew J.

  • Author_Institution
    Dep. Ing. Sist.-Aut., Univ. de Valladolid, Valladolid, Spain
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The controls for reconfigurable manufacturing systems RMS have to be capable not only of identifying exceptions on-line, but also simultaneously developing on-line strategies for unpredictable customer orders or inaccurate estimate of processing times. Trace-driven simulators are an efficient alternative but maintaining large traces can present storage and portability problems. This paper proposes a distribution-driven trace generation methodology as an alternative to traditional trace-driven simulation. An adaptation of the Least Recently Used Stack Model is used to concisely capture the key locality features in a trace and a two-position Markov chain model is used for trace generation. Simulation and analysis of a variety of RMS application traces demonstrate the characteristics of the synthetic traces should be generally very well preserved and similar to their real trace, and we also highlight the potential performance improvement over Tracking Control-Logic.
  • Keywords
    Markov processes; manufacturing systems; control-logic tracking; distribution-driven trace generation; least recently used stack model; reconfigurable manufacturing systems; reference traces; trace-driven simulator; two-position Markov chain model; unpredictable customer orders; Analytical models; Control systems; Discrete event simulation; Job shop scheduling; Manufacturing systems; Processor scheduling; Production; Reconfigurable logic; Size control; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
  • Conference_Location
    Mallorca
  • ISSN
    1946-0759
  • Print_ISBN
    978-1-4244-2727-7
  • Electronic_ISBN
    1946-0759
  • Type

    conf

  • DOI
    10.1109/ETFA.2009.5347091
  • Filename
    5347091