A probabilistic model for prioritizing engineering design requirements in uncertain QFD

Authors:
Hong-Bin Yan;Tieju Ma
Affiliations:
School of Business, East China University of Science and Technology, Shanghai, P.R. China;School of Business, East China University of Science and Technology, Shanghai, P.R. China
Venue:
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Year:
2013

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Abstract

Quality function deployment (QFD) is a planning and problem-solving tool gaining wide acceptance for translating customer requirements (CRs) into the design requirements (DRs) of a product. Deriving the priority order of DRs from input variables is a crucial step in applying QFD. Due to the inherent vagueness or impreciseness in QFD, the use of fuzzy linguistic variables for prioritizing DRs has become more and more important in QFD applications. This paper proposes a probabilistic model for prioritizing engineering DRs in QFD based on the order-based semantics of linguistic information and fuzzy preference relations of linguistic profiles, under random interpretations of customers, design team, and CRs. A case study taken from the literature is used to illuminate the proposed technique and to compare with the previous techniques. This approach enhances the fuzzy-computation-based models proposed in the previous studies by eliminate the burden of quantifying qualitative concepts.