半导体制造系统作业车间调度的遗传算法

IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029) Pub Date : 1999-11-29 DOI:10.1109/IECON.1999.816541

S. Cavalieri, F. Crisafulli, O. Mirabella

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引用次数: 17

摘要

本文描述了柔性半导体制造系统中车间作业调度问题的一种解决方法。该申请是指在意大利卡塔尼亚的意法半导体微电子工厂建造的新模块中生产存储器。该方法使用了一种遗传算法，该算法是为特定的工业应用而设计的。本文的重点是调度方法和如何提高工厂的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A genetic algorithm for job-shop scheduling in a semiconductor manufacturing system

The paper describes an approach to solving a job-shop scheduling problem in a flexible semiconductor manufacturing system. The application refers to the production of memories in a new module built in the ST Microelectronics plant in Catania (Italy). The approach uses a genetic algorithm, which has been devised for the particular industrial application. The paper focuses on the scheduling approach and on how it improves performance of the plant.

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IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029)

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