Technical importance ratings in fuzzy QFD by integrating fuzzy normalization and fuzzy weighted average

Authors:
Ying-Ming Wang;Kwai-Sang Chin
Affiliations:
Institute of Decision Sciences, Fuzhou University, Fuzhou 350108, PR China;Department of Systems Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong
Venue:
Computers & Mathematics with Applications
Year:
2011

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Abstract

Fuzzy quality function deployment (QFD) has been extensively used for translating customer requirements (CRs) into product design requirements (DRs) in fuzzy environments. Existing approaches, however, for rating technical importance of DRs in fuzzy environments are found problematic, either incorrect or inappropriate. This paper investigates how the technical importance of DRs can be correctly rated in fuzzy environments. A pair of nonlinear programming models and two equivalent pairs of linear programming models are developed, respectively, to rate the technical importance of DRs. The developed models are examined and illustrated with two numerical examples.