| タイトル | A Framework for the Optimization of Discrete-Event Simulation Models |
| 本文（外部サイト） | http://hdl.handle.net/2060/20040110395 |
| 著者（英） | White, N. H.; Unal, R.; Joshi, B. D.; Morris, W. D. |
| 著者所属（英） | NASA Langley Research Center |
| 発行日 | 1996-01-01 |
| 言語 | eng |
| 内容記述 | With the growing use of computer modeling and simulation, in all aspects of engineering, the scope of traditional optimization has to be extended to include simulation models. Some unique aspects have to be addressed while optimizing via stochastic simulation models. The optimization procedure has to explicitly account for the randomness inherent in the stochastic measures predicted by the model. This paper outlines a general purpose framework for optimization of terminating discrete-event simulation models. The methodology combines a chance constraint approach for problem formulation, together with standard statistical estimation and analyses techniques. The applicability of the optimization framework is illustrated by minimizing the operation and support resources of a launch vehicle, through a simulation model. |
| NASA分類 | Systems Analysis and Operations Research |
| 権利 | No Copyright |
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