Paper Info
Title
Determining optimal levels of engineering characteristics in quality function deployment under multi-segment market
Abstract
Customers often have various requirements and preferences on a product. A product market can be partitioned into several market segments, each of which contains a number of customers with homogeneous preferences. In this paper, a methodology which mainly involves a market survey, fuzzy clustering, quality function deployment (QFD) and fuzzy optimization, is proposed to achieve the optimal target settings of engineering characteristics (ECs) of a new product under a multi-segment market. An integrated optimization model for partitioned market segments based on QFD technology is established to maximize the overall customer satisfaction (OCS) for the market considering the weights of importance of different segments. The weights of importance of market segments and development costs in the model are expressed as triangular fuzzy numbers in order to describe the imprecision caused by human subjective judgement. The solving approach for the fuzzy optimization model is provided. Finally, a case study is provided for illustrating the proposed methodology.
Year
DOI
Venue
2010
10.1016/j.cie.2010.03.009
Computers & Industrial Engineering
Keywords
Field
DocType
quality function deployment,requirement engineering,customer satisfaction,fuzzy clustering,market segmentation
Fuzzy clustering,Mathematical optimization,Customer satisfaction,Market segmentation,Quality function deployment,Fuzzy logic,Engineering,Fuzzy number,Market research,Operations management,New product development
Journal
Volume
Issue
ISSN
59
1
0360-8352
Citations 
PageRank 
References 
8
0.65
7
Authors
3
Name
Order
Citations
PageRank
Xing-Gang Luo113814.85
C. K. Kwong253340.00
Jiafu Tang354149.29