Paper Info
Title
Rough set-based approach for modeling relationship measures in product planning
Abstract
Quality function deployment (QFD) provides a planning and problem-solving methodology that is widely renowned for translating customer requirements (CRs) into engineering characteristics (ECs) for new product development. As the first phase of QFD, product planning house of quality (PPHOQ) plays a very important role in this process. The degrees and directions of the relationship measures between CRs and ECs have serious effects on the special planning of ECs, modeling the relationship measures is an important step in constructing PPHOQ. The current paper presents a rough set (RS)-based approach for modeling relationship measures by determining the knowledge and experience of the QFD team, aided by the introduction of the type factor of a relationship used to express the effects of the relationship types. A study of general cases is used to demonstrate the performances and limitations of the proposed RS-based approach. The results show that the novel approach effectively determines the relative knowledge of the QFD team and facilitates decision-making in new product development.
Year
DOI
Venue
2012
10.1016/j.ins.2011.12.017
Inf. Sci.
Keywords
Field
DocType
novel approach,special planning,important role,new product development,product planning house,proposed rs-based approach,relationship measure,relationship type,qfd team,rough set-based approach,important step,quality function deployment,rough set
Customer requirements,Industrial engineering,Quality function deployment,House of Quality,Rough set,Artificial intelligence,Product planning,Machine learning,Mathematics,New product development
Journal
Volume
ISSN
Citations 
193,
0020-0255
3
PageRank 
References 
Authors
0.38
44
5
Name
Order
Citations
PageRank
Yanlai Li1959.06
Jiafu Tang254149.29
Kwai-Sang Chin3103354.69
Xing-Gang Luo413814.85
Yi Han5141.23