A proposal of optimization methodology on manufacturing scheduling and its application into actual scale problem in semiconductor manufacturing
Shinji Kurose, Toshiya Kaihara, Nobutada Fujii
Abstract
Shinji Kurose, Toshiya Kaihara, Nobutada Fujii
Abstract
Semiconductor manufacturing feature is high-product-mix and small-lot-size production, and the productivity becomes much worse owing to the short life cycle of production goods and the frequent change of the demand within a short time period. Therefore, it is very difficult to optimize the production schedule. In this paper we verify the effectiveness of applying Lagrange Decomposition and Coordination Method, which is a well-known optimizing method for scheduling problems, into actual scale problem in Semiconductor manufacturing.
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Semiconductor manufacturing feature is high-product-mix and small-lot-size production, and the productivity becomes much worse owing to the short life cycle of production goods and the frequent change of the demand within a short time period. Therefore, it is very difficult to optimize the production schedule. In this paper we verify the effectiveness of applying Lagrange Decomposition and Coordination Method, which is a well-known optimizing method for scheduling problems, into actual scale problem in Semiconductor manufacturing.
Key concepts: Semiconductor device fabrication, Scheduling (production processes), Computer science, Schedule, Job shop scheduling, Genetic algorithm scheduling, Industrial engineering, Production schedule