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

Volume

2

fYear

1999

fDate

1999

Firstpage

957

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IECON.1999.816541

Filename

816541