Paper Info
Title
A rough set approach for estimating correlation measures in quality function deployment
Abstract
Quality function deployment (QFD) is a planning and problem-solving methodology used to translate customer requirements (CRs) into engineering characteristics (ECs) in the course of new product development (NPD). Estimating the correlation measures among ECs is a crucial step in the product planning house of quality (PPHOQ) construction process because these measures seriously affect the planning of development efforts. This study presents a rough set-based approach used to estimate the correlation measures by revealing the knowledge of a QFD team. The approach involves introducing the category factor of a correlation to express the influences of the correlation categories on the corresponding correlation measures. A case study of a two-cylinder washing machine is used to illustrate the proposed approach. The result shows that the novel approach is effective in revealing the related knowledge of the QFD team and facilitating NPD decision making.
Year
DOI
Venue
2012
10.1016/j.ins.2011.12.002
Inf. Sci.
Keywords
Field
DocType
novel approach,corresponding correlation measure,correlation measure,rough set approach,correlation category,npd decision,product planning house,qfd team,rough set-based approach,case study,quality function deployment,rough set,house of quality
Customer requirements,Industrial engineering,House of Quality,Quality function deployment,Rough set,Correlation,Artificial intelligence,Product planning,Machine learning,Mathematics,New product development
Journal
Volume
ISSN
Citations 
189,
0020-0255
11
PageRank 
References 
Authors
0.85
39
5
Name
Order
Citations
PageRank
Yanlai Li1959.06
Jiafu Tang254149.29
Kwai-Sang Chin3103354.69
Yi Han4141.23
Xing-Gang Luo513814.85