Title :
Two-stage product definition for mass customization
Author :
Yu, Li ; Wang, Liya
Author_Institution :
Dept. of Ind. Eng. & Manage., Shanghai
Abstract :
Customer needs (CNs) and its relationship with functional requirements (FRs) play important roles in customized product design. To better understand customer requirements and increase the efficiency of functional requirements recognition in mass customization, we introduce a two-stage method for product definition. In the first stage, both customer needs and customer characteristics (CCs) are analyzed. Similar customers are clustered into groups by the fuzzy C-means (FCM) clustering analysis technique. In the successive stage, a neural network based model is constructed to simulate the relationship between custom needs and functional requirements. A case study and scenario of product definition for customizing personal computer is reported to illustrate the feasibility and potential of the proposed approach.
Keywords :
customer satisfaction; neural nets; pattern clustering; product customisation; product design; customer characteristics; customer needs; customized product design; functional requirements recognition; fuzzy C-means clustering analysis technique; mass customization; neural network based model; two-stage product definition; Carbon capture and storage; Computational modeling; Design engineering; Engineering management; Industrial engineering; Mass customization; Neural networks; Process design; Product design; Quality function deployment;
Conference_Titel :
Industrial Informatics, 2007 5th IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-0851-1
Electronic_ISBN :
1935-4576
DOI :
10.1109/INDIN.2007.4384858
