Title :
A genetic algorithm for job-shop scheduling in a semiconductor manufacturing system
Author :
Cavalieri, S. ; Crisafulli, F. ; Mirabella, O.
Author_Institution :
Ist. di Inf. e Telecommun., Catania Univ., Italy
Abstract :
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
Keywords :
flexible manufacturing systems; genetic algorithms; scheduling; semiconductor device manufacture; Catania; Italy; ST Microelectronics plant; flexible manufacturing system; genetic algorithm; industrial application; job-shop scheduling; memories production; plant performance improvement; semiconductor manufacturing system; Dispatching; Flexible manufacturing systems; Genetic algorithms; Job shop scheduling; Manufacturing industries; Manufacturing systems; Materials requirements planning; Microelectronics; Production; Productivity;
Conference_Titel :
Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
0-7803-5735-3
DOI :
10.1109/IECON.1999.816541
