• DocumentCode
    2177868
  • Title

    Analytical simulation modeling

  • Author

    Schruben, Lee

  • Author_Institution
    Ind. Eng. & Oper. Res., Univ. of California, Berkeley, CA, USA
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    113
  • Lastpage
    121
  • Abstract
    Simulation modeling methodology research and simulation analysis methodology research have evolved into two nearly separate fields. In this paper, ways are shown how simulation might benefit from modeling and analysis becoming more closely integrated. The thesis of this paper is that simulation analysis and simulation modeling methodologies, considered together, will result in important advancements in both. Some examples demonstrate how dramatically more efficient discrete event simulation models can be designed for specific analytical purposes, which in turn enable more powerful analytical procedures that can exploit the special structures of these models. A series of increasingly difficult analytical problems, and models designed to solve them, are considered: starting with simple performance estimation, and progressing to dynamic multiple moment response surface meta-modeling.
  • Keywords
    discrete event simulation; discrete event simulation; multiple moment response surface meta-modeling; performance estimation; simulation analysis; simulation modeling methodology; Analytical models; Animation; Computational modeling; Computer simulation; Context modeling; Discrete event simulation; Industrial engineering; Operations research; Performance analysis; Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2008. WSC 2008. Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2707-9
  • Electronic_ISBN
    978-1-4244-2708-6
  • Type

    conf

  • DOI
    10.1109/WSC.2008.4736061
  • Filename
    4736061