Artificial neural networks for supporting production planning and control

被引：6
作者：
Corsten, H
May, C
机构：
[1] Universität Kaiserslautern, Lehrst. Allg. B., Insbesondere Produktionswirtschaft, D-67663 Kaiserslautern, Gottlieb-Daimler-Str
[2] Wirtschaftswissenschaftliche Fak. I., Lehrst. fur Produktionswirtschaft, D-85049 Ingolstadt
来源：
TECHNOVATION | 1996年 / 16卷 / 02期
关键词：
D O I：
10.1016/0166-4972(95)00024-0
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In recent times artificial neural networks have been receiving increasing attention as tools for business applications. In this paper we will analyse the surveys on production scheduling with artificial neural networks and discuss the various approaches as well as their limitations. Furthermore, we will show the potential for using artificial neural networks for production planning and control. Copyright (C) 1996 Elsevier Science Ltd
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收藏
页码：67 / 76
页数：10
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