Beyond Concurrent Engineering: Parallel Distributed Engineering for More Adaptability and Less Energy Consumption

被引:0
|
作者
Fukuda, Shuichi [1 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
关键词
Parallel Distributed Processing; Neural Network; interchangeable common components; reduction of time; cost and energy consumption; increase of productivity;
D O I
10.3233/978-1-61499-302-5-129
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A Parallel Distributed Processing (PDP) or Neural Network model is proposed to re-organize industries so that they can share knowledge and experience among them. This re-organized industry framework, which is called Parallel Distributed Engineering here, develops interchangeable components at its intermediate level and combines them into final products to meet the requirements of customers. Thus, it brings forth greater flexibility to adapt to very frequently and extensively changing situations and what is more important, it reduces time, cost and energy consumption and increase productivity considerably. And it will satisfy customers more because their diverse requirements can be more precisely met.
引用
收藏
页码:129 / 136
页数:8
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