THE USE OF NEURAL NETWORKS IN DETERMINING OPERATIONAL POLICIES FOR MANUFACTURING SYSTEMS

被引：38

作者：

CHRYSSOLOURIS, G

LEE, M

DOMROESE, M

机构：

[1] Massachusetts Institute of Technology, Cambridge, MA

来源：

JOURNAL OF MANUFACTURING SYSTEMS | 1991年 / 10卷 / 02期

关键词：

D O I：

10.1016/0278-6125(91)90018-W

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In a dynamic manufacturing environment, an operational policy prescribes when and how tasks are assigned to resources. Recent research has investigated the behavior of operational policies that can be tailored to specific manufacturing situations through the selection and evaluation of pertinent manufacturing decision making (MADEMA) criteria. Often, however, the relationship between the relative importance of these criteria and the overall performance of the manufacturing system is impossible to analytically establish. This paper explores the use of neural networks for identifying the relative importance of these criteria for given performance goals of the manufacturing system.

引用

页码：166 / 175

页数：10

共 11 条

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