Title :
Simulation model evolution: a strategic tool for model planning
Author_Institution :
Eaton-Kenway Inc., Salt Lake City, UT, USA
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;
Conference_Titel :
Simulation Conference Proceedings, 1994. Winter
Print_ISBN :
0-7803-2109-X
DOI :
10.1109/WSC.1994.717543