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
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;
Conference_Titel :
Simulation Conference, 2003. Proceedings of the 2003 Winter
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/WSC.2003.1261412
