Customer Oriented Product Design by Adaptive Clustering Analysis

Abstract:

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In the face of increasing competition and diversified demand, product design must be customer oriented for modern enterprises to satisfy the variationally personalized requirements. Thereof; the exact orientation and comprehensive analysis of target customers have been the key to conduct customer oriented product design. This paper presented a new method for the orientation and analysis of target customers by adaptive clustering analysis. By this method, the distribution of customer clusters and the related characteristics of each custer as well as its included customers can be extracted dynamically and adaptively. Applied by this method, the adaptive recommendation system was illustrated for the design of LCD-TV.This paper applied the Autonomous Intelligent System(AIS) to deal with the intelligent activities intelligently and automatically, and thereof provided a new method for the Supply Chain Management(SCM) on MC manufacture. First, a new supply chain model based on E-HUB was presented according to the requirements of MC manufacture, and then the structure and operation of AIS were designed to support that SCM. Finally, the development technology of AIS was discussed.

Info:

Periodical:

Edited by:

Zhenyu Du and Bin Liu

Pages:

690-693

DOI:

10.4028/www.scientific.net/AMM.26-28.690

Citation:

W. H. Dai "Customer Oriented Product Design by Adaptive Clustering Analysis", Applied Mechanics and Materials, Vols. 26-28, pp. 690-693, 2010

Online since:

June 2010

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Price:

$35.00

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