Title
Product concept generation and selection using sorting technique and fuzzy c-means algorithm
Abstract
Product conceptualization is regarded as a key activity in new product development (NPD). In this stage, product concept generation and selection plays a crucial role. This paper presents a product concept generation and selection (PCGS) approach, which was proposed to assist product designers in generating and selecting design alternatives during the product conceptualization stage. In the PCGS, general sorting was adapted for initial requirements acquisition and platform definition; while a fuzzy c-means (FCM) algorithm was integrated with a design alternatives generation strategy for clustering design options and selecting preferred product concepts. The PCGS deliberates and embeds a psychology-originated method, i.e., sorting technique, to widen domain coverage and improve the effectiveness in initial platform formation. Furthermore, it successfully improves the FCM algorithm in such a way that more accurate clustering results can be obtained. A case study on a wood golf club design was used for illustrating the proposed approach. The results were promising and revealed the potential of the PCGS method.
Year
DOI
Venue
2006
10.1016/j.cie.2006.05.003
Computers & Industrial Engineering
Keywords
Field
DocType
pcgs deliberates,pcgs method,product conceptualization stage,product concept generation,product designer,clustering design option,product platform,sorting technique,design option,design alternative,product conceptualization,new product development,fuzzy c-means algorithm,preferred product concept,fuzzy c -means algorithm,product concept generation and selection,product design
Fuzzy logic,Algorithm,Conceptualization,Requirements acquisition,Sorting,Engineering,Cluster analysis,Operations management,New product development
Journal
Volume
Issue
ISSN
50
3
Computers & Industrial Engineering
Citations 
PageRank 
References 
7
0.60
11
Authors
3
Name
Order
Citations
PageRank
Wei Yan170.60
Chun-Hsien Chen247264.61
Meng-Dar Shieh31079.82