Data-mining-based methodology for the design of product families

被引：119

作者：

Agard, B

Kusiak, A ^{[1
]}

机构：

[1] Univ Iowa, Dept Mech & Ind Engn, Seamans Ctr 2139, Intelligent Syst Lab, Iowa City, IA 52242 USA

[2] Ecole Polytech Montreal, Dept Math & Genie Ind, Montreal, PQ H3C 3A7, Canada

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 2004年 / 42卷 / 15期

关键词：

D O I：

10.1080/00207540410001691929

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Companies design and manufacture widely diversified products to satisfy the needs of their customers and markets, Two issues important to achieving this aim are discussed. The first concerns adequate diversity for a particular market. The second concerns the management and manufacture of products within an acceptable lead time and an acceptable cost. The two issues are examined with a methodology for the design of products families. This methodology is based on a data-mining approach and it focuses on the analysis of functional requirements.

引用

页码：2955 / 2969

页数：15

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