ASTMOPF: A General Stochastic Model for the Optimization of Manufacturing Processes.

被引:0
作者
Dillenberger, Ch. [1 ]
机构
[1] IBM Deutschland GmbH, Sindelfingen, West Ger, IBM Deutschland GmbH, Sindelfingen, West Ger
来源
Zeitschrift fuer Operatons Research, Serie B: Praxis | 1986年 / 30卷 / 04期
关键词
MATHEMATICAL MODELS - MATHEMATICAL STATISTICS - Monte Carlo Methods - PROBABILITY - Random Processes;
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摘要
This paper presents a stochastic model which can be used to optimize the yield of manufacturing lines. The calculation of the yield is based on the Monte-Carlo-method. The major idea is the reduction of the stochastic problem to a nonlinear optimization problem. After the chapter 'mathematical model' we would like to give an insight of the corresponding program ASTMOPF. The application of ASTMOPF is illustrated by an example.
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页码:91 / 97
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