• DocumentCode
    3385220
  • Title

    Simulation model evolution: a strategic tool for model planning

  • Author

    Hunter, Todd

  • Author_Institution
    Eaton-Kenway Inc., Salt Lake City, UT, USA
  • fYear
    1994
  • fDate
    11-14 Dec. 1994
  • Firstpage
    1428
  • Lastpage
    1430
  • Abstract
    Most simulation models evolve over time through a number of different metamorphic states. These states are typical to most simulation efforts within a specific simulation category (i.e. health care, military, material handling etc.). Using a cursory SWOT (strengths, weaknesses, opportunities, threats) analysis approach, this paper seeks to define the states as they occur in a typical automated material handling simulation effort. The definition of each state includes an applicable SWOT analysis. Understanding these states enables simulation professionals to better develop meaningful strategies for future simulation, and aids in the creation of economies of scale.
  • Keywords
    digital simulation; modelling; SWOT analysis; automated material handling simulation; economies of scale; metamorphic states; model planning; simulation model evolution; simulation professionals; strategic tool; Analytical models; Cities and towns; Costs; Data analysis; Economies of scale; Graphics; Materials handling; Medical services; Solid modeling; Strategic planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference Proceedings, 1994. Winter
  • Print_ISBN
    0-7803-2109-X
  • Type

    conf

  • DOI
    10.1109/WSC.1994.717543
  • Filename
    717543