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: | 1-八月-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 |
顯示於類別: | 期刊論文 |