Paper Titles
Product Numbering System Design for Single Piece or Small Batch Customization Manufacture and its Process Organization
p.23
Framework Studies on Manufacturing Resource Management System Based on E-Hubs
p.28
Study on Network Process System of Engine
p.34
Customer-Centric Strategy for E-Manufacturing in Apparel Industry
p.39
Clustering and Rough Set-Based Knowledge Discovery for Product Family Planning
p.45
Modeling and Simulating of Single-Row Facility Layout Based on Manufacturing Costs
p.51
Developing an Internet Based Intelligent Supplier Selection System
p.58
Modern Data Information Retrieval and an Approach towards Content-Based Collaborative System
p.62
Balancing Global Project Resources Utilising a Genetic Algorithm Approach with Stochastic Resource Assignments
p.67

Clustering and Rough Set-Based Knowledge Discovery for Product Family Planning

Article Preview

Abstract:

Product family planning has received much attention from both academia and industries. It aims at incorporating customers’ needs into design elements of product family. The main challenger for product family planning originates from difficulties in mapping customer needs to product family specifications. This paper intends to develop a method to improve the mapping process by reusing knowledge from purchased products according to the satisfied customer needs. A knowledge discovery model for product family planning is proposed, where clustering is adopted to partition the purchased products so that commonality of product family could be effectively addressed and rough set is employed to extract the more concise decision rules. A case study of air condition is reported to illustrate the feasibility of proposed approach and associated algorithms.

You might also be interested in these eBooks
e-Engineering & Digital Enterprise Technology View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 10-12)

Pages:

45-50

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.10-12.45

Citation:

Cite this paper

Online since:

December 2007

Authors:

C.J. Zhou, Z.H. Lin

Keywords:

Clustering, Knowledge Discovery, Market Segment, Product Family Planning, Rough Set (RS)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2008 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] R. Cooper, S. Edgett and E. Kleinschmidt: R & D Manage, Vol. 31 (2001) No. 4, pp.361-381.

Google Scholar

[2] H. Li and S. Azarm: ASME Journal of Mechanical Design, Vol. 124 (2002) No. 9, pp.385-392.

Google Scholar

[3] J.X. Jiao and Y.Y. Zhang: IIE Transaction, Vol. 37 (2004) No. 9, pp.801-814.

Google Scholar

[4] Y.Y. Zhang and J.X. Jiao: Journal of Product Development, Vol. 4 (2005) No. 2, pp.339-352.

Google Scholar

[5] J.X. Jiao and Y.Y. Zhang: Computer-Aided Design, Vol. 37 (2005) No. 4, pp.149-172.

Google Scholar

[6] L. Shi, Z.L. Lou and J.G. Lu et al: International Journal of Advanced Manufacturing Technology, Vol. 21 (2003), pp.662-668.

Google Scholar

[7] G. Salvatore, M. Benedetto and S. Roman: European Journal of Operational Research, Vol. 138 (2002), pp.247-259.

Google Scholar