https://scholars.lib.ntu.edu.tw/handle/123456789/152896
標題: | Demand-driven, iterative capacity allocation and cycle time estimation for re-entrant lines | 作者: | SHI-CHUNG CHANG | 公開日期: | 十二月-1999 | 卷: | 3 | 起(迄)頁: | 2270-2275 | 來源出版物: | Proceedings of the IEEE Conference on Decision and Control | 摘要: | Daily production target setting for each production stage of a semiconductor wafer fabrication factory (fab) is a challenging machine capacity allocation problem due to the complex and re-entrant process flows. This paper summarizes a methodology developed by the author and his colleagues for the design of a daily target setting system (TSS) over the past few years. The methodology realizes PULL-then-PUSH and proportional capacity allocation principles to meet production demands in a smooth way while maximizing machine utilization. As machine capacity allocation and available wafer flows are intertwined, the target setting problem can be viewed as a fixed-point iteration problem. A deterministic queueing analysis-based algorithm is designed to estimate cycle times and hence wafer flows. The methodology iterates between capacity allocation and cycle time estimation until a fixed-point capacity allocation is achieved. Recorded field implementation results of various versions of TSS based on the methodology include a decline of average total WIP by 8%, an increase of daily total wafer flows by nearly 20%, an increase in target achieving rate at the shop floor by more than 10%, the reduction of average cycle time per layer from 3.25 to 2.96 days, and the reduction of average +2 sigma of per-layer cycle time from 4.63 to 3.68. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/2007041910021683 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033347355&doi=10.1109%2fCDC.1999.831259&partnerID=40&md5=3343577f60c626e3feec8532cb1ecf3e |
ISSN: | 07431546 | DOI: | 10.1109/CDC.1999.831259 | SDG/關鍵字: | Algorithms; Iterative methods; Optimization; Queueing theory; Resource allocation; Semiconductor device manufacture; Deterministic queueing analysis based algorithm; Machine capacity allocation problem; Proportional capacity allocation principles; Target setting system; Scheduling |
顯示於: | 電機工程學系 |
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