DocumentCode
402122
Title
Input model uncertainty: why do we care and what should we do about it?
Author
Henderson, Shane G.
Author_Institution
Sch. of Operations Res. & Ind. Eng., Cornell Univ., Ithaca, NY, USA
Volume
1
fYear
2003
fDate
7-10 Dec. 2003
Firstpage
90
Abstract
An input model is a collection of distributions together with any associated parameters that are used as primitive inputs in a simulation model. Input model uncertainty arises when one is not completely certain what distributions and/or parameters to use. This tutorial attempts to provide a sense of why one should consider input uncertainty and what methods can be used to deal with it.
Keywords
digital simulation; uncertainty handling; associated parameters; decision problems; distribution collection; input model uncertainty; primitive inputs; simulation model; tutorial; Industrial engineering; Operations research; Performance analysis; Queueing analysis; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2003. Proceedings of the 2003 Winter
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/WSC.2003.1261412
Filename
1261412
Link To Document