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Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach
Author(s) -
Büyüközkan Gülçin,
Ertay Tijen,
Kahraman Cengiz,
Ruan Da
Publication year - 2004
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20006
Subject(s) - quality function deployment , house of quality , analytic network process , analytic hierarchy process , computer science , fuzzy logic , quality (philosophy) , process (computing) , construct (python library) , function (biology) , operations research , risk analysis (engineering) , reliability engineering , operations management , artificial intelligence , mathematics , service quality , engineering , business , marketing , service (business) , customer retention , biology , operating system , epistemology , evolutionary biology , programming language , philosophy , value engineering
Quality function deployment (QFD) has been used to translate customer needs (CNs) and wants into technical design requirements (DRs) in order to increase customer satisfaction. QFD uses the house of quality (HOQ), which is a matrix providing a conceptual map for the design process, as a construct for understanding CNs and establishing priorities of DRs to satisfy them. This article uses the analytic network process (ANP), the general form of the analytic hierarchy process (AHP), to prioritize DRs by taking into account the degree of the interdependence between the CNs and DRs and the inner dependence among them. In addition, because human judgment on the importance of requirements is always imprecise and vague, this work concentrates on a fuzzy ANP approach in which triangular fuzzy numbers are used to improve the quality of the responsiveness to CNs and DRs. A numerical example is presented to show the proposed methodology. © 2004 Wiley Periodicals, Inc.