A fuzzy‐neural approach for output projection in a semiconductor fabrication factory

作者: Toly Chen , Hsin‐Chieh Wu

DOI: 10.1080/02533839.2009.9671505

关键词:

摘要: Output projection is a critical task for semiconductor fabrication factory. There are two steps in output projection: predicting the time every job factory, and projecting outputs into each period. For enhancing effectiveness of projection, fuzzy-neural approach proposed this study. Firstly, fuzzy back propagation network (FBPN) applied to generate fuzzy-valued forecasts. Then, function project To evaluate methodology make comparison with some traditional approaches, production simulation also study test data.

参考文章(5)
Pei-Chann Chang, Jih-Chang Hieh, T. Warren Liao, Evolving fuzzy rules for due-date assignment problem in semiconductor manufacturing factory Journal of Intelligent Manufacturing. ,vol. 16, pp. 549- 557 ,(2005) , 10.1007/S10845-005-1663-4
L.-X. Wang, J.M. Mendel, Generating fuzzy rules by learning from examples systems man and cybernetics. ,vol. 22, pp. 1414- 1427 ,(1992) , 10.1109/21.199466
Jih-Chang Hsieh, 張百棧, A neural networks approach for due-date assignment in a wafer fabrication factory 桃園縣:元智大學資訊管理學系. ,(2003)