A proposal on optimized scheduling methodology and its application to an actual-scale semiconductor manufacturing problem
Semiconductor manufacturing process flows typically include several hundred process steps, using hundreds of machines repeatedly. The production schedule for such a re-entrant flexible flow shop is extremely difficult to be optimized. Furthermore, in recent years, it has become increasingly difficul...
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Veröffentlicht in: | CIRP annals 2012, Vol.61 (1), p.467-470 |
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creator | Kaihara, Toshiya Kurose, Shinji Fujii, Nobutada |
description | Semiconductor manufacturing process flows typically include several hundred process steps, using hundreds of machines repeatedly. The production schedule for such a re-entrant flexible flow shop is extremely difficult to be optimized. Furthermore, in recent years, it has become increasingly difficult to use machines effectively because of the product mix increase and also the production lot size decrease. In this paper we apply the well-known cooperative scheduling method, Lagrangian Decomposition and Coordination method, into an actual large scale model in semiconductor manufacturing. Then we show that the proposed method successfully creates a well-performed production schedule as we expected. |
doi_str_mv | 10.1016/j.cirp.2012.03.077 |
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The production schedule for such a re-entrant flexible flow shop is extremely difficult to be optimized. Furthermore, in recent years, it has become increasingly difficult to use machines effectively because of the product mix increase and also the production lot size decrease. In this paper we apply the well-known cooperative scheduling method, Lagrangian Decomposition and Coordination method, into an actual large scale model in semiconductor manufacturing. Then we show that the proposed method successfully creates a well-performed production schedule as we expected.</description><subject>Applied sciences</subject><subject>Decomposition</subject><subject>Exact sciences and technology</subject><subject>Inventory control, production control. Distribution</subject><subject>Machine shops</subject><subject>Methodology</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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subjects | Applied sciences Decomposition Exact sciences and technology Inventory control, production control. Distribution Machine shops Methodology Operational research and scientific management Operational research. Management science Optimization Production planning Proposals Schedules Scheduling Semiconductor manufacturing system Semiconductors |
title | A proposal on optimized scheduling methodology and its application to an actual-scale semiconductor manufacturing problem |
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