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

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3 Author(s)
Cavalieri, S. ; Ist. di Inf. e Telecommun., Catania Univ., Italy ; Crisafulli, F. ; Mirabella, O.

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

Published in:

Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE  (Volume:2 )

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