2011•Unpublished venueRequires access

A proposal of optimization methodology on manufacturing scheduling and its application into actual scale problem in semiconductor manufacturing

Shinji Kurose, Toshiya Kaihara, Nobutada Fujii

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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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What this paper is about

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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Available 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.

Key concepts: Semiconductor device fabrication, Scheduling (production processes), Computer science, Schedule, Job shop scheduling, Genetic algorithm scheduling, Industrial engineering, Production schedule

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