• DocumentCode
    2997962
  • Title

    Qualitative discrete event simulation

  • Author

    Leow-Sehwail, Yen-Ping ; Ingalls, Ricki G.

  • Author_Institution
    Sch. of Ind. Eng. & Manage., Oklahoma State Univ., Stillwater, OK
  • fYear
    2005
  • fDate
    4-4 Dec. 2005
  • Abstract
    A real world system is full of uncertainties and more than often the parameters, processes or events under study are poorly understood. In order to study a real world system, we often have to make a set of assumptions about how it works using statistical, mathematical or logical relationships. Qualitative discrete event simulation involves the development of simulation models which require less assumptions, less data requirements and yet more robust. This paper presents the concepts involved in the development and implementation of qualitative discrete event simulation models and algorithms
  • Keywords
    discrete event simulation; qualitative discrete event simulation; real world system; simulation model development; Analytical models; Artificial intelligence; Discrete event simulation; Economic forecasting; Investments; Power engineering and energy; Power generation economics; Predictive models; Probability distribution; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2005 Proceedings of the Winter
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-9519-0
  • Type

    conf

  • DOI
    10.1109/WSC.2005.1574305
  • Filename
    1574305