• DocumentCode
    2119284
  • Title

    Resource graphs for modeling large-scale, highly congested systems

  • Author

    Hyden, Paul ; Schruben, Lee ; Roeder, Theresa

  • Author_Institution
    Dept. of Math. Sci., Clemson Univ., SC, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    523
  • Abstract
    Simulations often execute too slowly to be effective tools for decision-making. In particular, this problem has been found in semiconductor manufacturing where conventional job-driven simulation models explicitly track each lot of wafers as it progresses through the system. While a job-driven simulation model offers some advantages, they inherently execute slowly. This paper explicitly defines resource-driven modeling. Here jobs are implicitly tracked through their resource usage. Resource-driven simulations typically run much faster than job-driven simulations. This speed-up is insensitive to congestion and is most dramatic when the system is highly congested and therefore most interesting to the analyst. There can also be a significant reduction in memory footprint. However, there is a potential tradeoff in information loss
  • Keywords
    digital simulation; operations research; highly congested systems; job-driven simulation models; resource graphs; resource-driven modeling; resource-driven simulations; semiconductor manufacturing; Availability; Computational modeling; Decision making; Large-scale systems; Processor scheduling; Semiconductor device manufacture; Semiconductor device modeling; Software design; Software packages; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2001. Proceedings of the Winter
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-7307-3
  • Type

    conf

  • DOI
    10.1109/WSC.2001.977333
  • Filename
    977333