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
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