DocumentCode :
3312195
Title :
Knowledge-Based Customers´ Desirability Acquisition of Clothing
Author :
Lu, Hong ; Chen, Yan ; Wang, Ying
Author_Institution :
Dept. of Clothing Design & Eng., Soochow Univ., Suzhou
Volume :
7
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
94
Lastpage :
98
Abstract :
With emphasis on customer demands in clothing manufacture and marketing, the acquisition of customer desirability has secured recognition by more and more people in the early stage of the clothing design. In this paper, clothing is defined and represented by the form of the design knowledge hierarchy structure (DKHS) on the basis of the designers´ knowledge. The customer´s desirability, which is useful to the further design and important to the customization trend in the clothing industry, is elicited by the conjoint analysis (CA) method. A case study of the women´s overcoat is used to explain the whole process.
Keywords :
clothing industry; customer satisfaction; design; marketing; clothing design; clothing manufacture; clothing marketing; conjoint analysis method; customer demand; customer desirability; design knowledge hierarchy structure; Clothing industry; Computer aided manufacturing; Costs; Design engineering; Humans; Knowledge engineering; Process design; Product design; Product development; Psychology; conjoint analysis; customer desirability acquisition; design knowledge hierarchy structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.909
Filename :
4667952
Link To Document :
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