DocumentCode :
1740939
Title :
How the ExpertFit distribution-fitting package can make your simulation models more valid
Author :
Law, Averill M. ; McComas, Michael G.
Author_Institution :
Averill M. Law & Assoc. Inc., Tucson, AZ, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
253
Abstract :
In this paper, we discuss the critical role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we explain how any analyst, regardless of their knowledge of statistics, can easily avoid these pitfalls through the use of the ExpertFit distribution-fitting software. We use a set of real-world data to demonstrate how the software automatically specifies and ranks probability distributions, and then tells the analyst whether the “best” candidate distribution is actually a good representation of the data. If no distribution provides a good fit, then ExpertFit can define an empirical distribution. In either case, the selected distribution is put into the proper format for direct input to the analyst´s simulation software
Keywords :
digital simulation; manufacturing resources planning; statistical analysis; ExpertFit distribution-fitting package; ranks probability; real-world data; simulation input modeling; simulation models; simulation software; simulation study; Analytical models; Fitting; Information analysis; Machine tools; Manufacturing systems; Packaging; Probability distribution; Statistical analysis; Statistical distributions; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2000. Proceedings. Winter
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-6579-8
Type :
conf
DOI :
10.1109/WSC.2000.899726
Filename :
899726
Link To Document :
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