DocumentCode
2939182
Title
Batch-size effects on simulation optimization using multiple comparisons with the best
Author
Goldsman, Lynne ; Nelson, Barry L.
Author_Institution
Dept. of Ind. & Syst. Eng., Ohio State Univ., Columbus, OH, USA
fYear
1990
fDate
9-12 Dec 1990
Firstpage
288
Lastpage
293
Abstract
A batch-size analysis is presented which provides the framework for an algorithm to form MCB (multiple comparisons with the best) confidence intervals for steady-state simulations. Empirical studies indicate that the proposed heuristic approach to the batching problem is effective
Keywords
batch processing (industrial); optimisation; simulation; statistical analysis; batch-size analysis; batching problem; confidence intervals; heuristic approach; multiple comparisons with the best; simulation optimization; steady-state simulations; Buffer storage; Computational modeling; Costs; Design engineering; Design optimization; Job shop scheduling; Optimization methods; Sampling methods; Steady-state; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 1990. Proceedings., Winter
Conference_Location
New Orleans, LA
Print_ISBN
0-911801-72-3
Type
conf
DOI
10.1109/WSC.1990.129529
Filename
129529
Link To Document