The Framework of Product Definition Based on Data Mining Techniques

Abstract:

Product definition aims at transfer customer needs into product functions. This process plays an important role in the early stage of product development. To make best use of historical design cases, data mining techniques are applied to extract the hidden knowledge from the database. This paper constructed a four-stage framework of product definition based on data mining techniques. It can help sales engineers efficiently find suitable product family and similar design cases, as well as choosing appropriate product function attributes to make adjustment. Following the presented methodology, engineers can develop new product function with short time and low cost. It can make full use of existing designs and maintain high customer satisfaction.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 4874-4877
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.4874
• Online since: November 2014
• Authors: Li Yu*, Zai Fang Zhang
• Keywords: Data Mining (DM), Mass Customization, Product Definition

References

[1] N.P. Suh. The Principles of Design, Oxford series on advanced manufacturing, (1990).

[2] M. M Tseng and J. Jiao. Computer-aided requirement management for product definition: a methodology and implementation. Concurrent Engineering, 1998, 6(2): 145-160.

DOI: 10.1177/1063293x9800600205

[3] Büyüközkan G, Feyzioğlu O. Group decision making to better respond customer needs in software development. Computers & Industrial Engineering, 2005, 48(2): 427-441.

DOI: 10.1016/j.cie.2005.01.007

[4] X. Du, J. Jiao and M.M. Tseng. Identifying customer need patterns for Customization and Personalization, Integrated Manufacturing Systems, 2003, 14(5): 387-396.

DOI: 10.1108/09576060310477799

[5] Zhaoxun C., Liya W. Product definition in mass customization adopting neural network/IEEE Industrial Electronics, IECON 2006-32nd Annual Conference on. IEEE, 2006: 2633-2637.

DOI: 10.1109/iecon.2006.347597

[6] Tseng MM, Jiao J (1998) Computer-aided requirement management for product definition: A methodology and implementation. Concurrent Eng Res Appl 6(2): 145-160.

DOI: 10.1177/1063293x9800600205

[7] Zhang Y, Jiao J. A web-based product portfolio decision support system. International journal of manufacturing technology and management, 2007, 11(3): 296-314.

DOI: 10.1504/ijmtm.2007.013321

[8] Zhang M., Tang J. and Ding J. (2009). Study on the method of correction for ocean-color sensor zero-voltage fluctuation. J. Infrared Millim. Waves 28(3): 376-381.

DOI: 10.3724/sp.j.1010.2009.00376

[9] Zhang M., Tang J., Hu X. and Ding J. (2008). Study on the atmospheric correction for high spatial resolution bands of MODIS, Proceedings of SPIE 7150: 71501E.

[10] Chen J., Zhang M., Cui T. and Wen Z. (2013).