標題: A short-term capacity trading method for semiconductor fabs with partnership
作者: Wu, Muh-Cherng
Chang, Wen-Jen
工業工程與管理學系
Department of Industrial Engineering and Management
公開日期: 1-Aug-2007
摘要: This paper presents a capacity trading method for two semiconductor fabs that have established a capacity-sharing partnership. A fab that is predicted to have insufficient capacity at some workstations in a short-term period (e.g. one week) could purchase tool capacity from its partner fab. The population of such a capacity-trading portfolio may be quite huge. The proposed method involves three modules. We first use discrete-event simulation to identify the trading population. Secondly, some randomly sampled trading portfolios with their performance measured by simulation are used to develop a neural network, which can efficiently evaluate the performance of a trading portfolio. Thirdly, a genetic algorithm (GA) embedded with the developed neural network is used to find a near-optimal trading portfolio from the huge trading population. Experiment results indicate that the proposed trading method outperforms two other bench-marked methods in terms of number of completed operations, number of wafer outs, and mean cycle time. (c) 2006 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2006.05.012
http://hdl.handle.net/11536/10482
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2006.05.012
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 33
Issue: 2
起始頁: 476
結束頁: 483
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