Fuzzy neural network-based rescheduling decision mechanism for semiconductor manufacturing

被引：37

作者：

Zhang, J. ^{[1
]}

Qin, W. ^{[1
]}

Wu, L. H. ^{[1
]}

Zhai, W. B. ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China

来源：

COMPUTERS IN INDUSTRY | 2014年 / 65卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Semiconductor fabrication line; Rescheduling; Decision mechanism; Fuzzy neural networks; SCHEDULING MODELS; ALGORITHM; INDUSTRY; SYSTEM;

D O I：

10.1016/j.compind.2014.06.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Most semiconductor manufacturing systems (SMS) operate in a highly dynamic and unpredictable environment. The production rescheduling strategy addresses uncertainty and improves SMS performance. The rescheduling framework of SMS is presented as layered scheduling strategies with an optimization rescheduling decision mechanism. A fuzzy neural network (FNN) based rescheduling decision model is implemented which can rapidly choose an optimized rescheduling strategy to schedule the semiconductor wafer fabrication lines according to current system disturbances. The mapping between the input of FNN, such as disturbances, system state parameters, and the output of FNN, optimal rescheduling strategies, is constructed. An example of a semiconductor fabrication line in Shanghai is given. The experimental results demonstrate the effectiveness of proposed FNN-based rescheduling decision mechanism approach over the alternatives such as back-propagation neural network (BPNN) and multivariate regression (MR). (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：1115 / 1125

页数：11

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