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