A fuzzy QFD program modelling approach using the method of imprecision

Y. Z. Chen, Wai Ting Ngai

Research output: Journal article publicationJournal articleAcademic researchpeer-review

37 Citations (Scopus)


The use of quality function deployment (QFD) to aid decision making in product planning has gained extensive international attention, but current QFD approaches are unable to cope with complex product planning (CPP) characterized by involving multiple engineering characteristics (ECs) associated with significant uncertainty. To tackle this difficulty, in this paper, fuzzy set theory is embedded into a QFD framework and a novel fuzzy QFD program modelling approach to CPP is proposed to optimize the values of ECs by taking the design uncertainty and financial considerations into account. In the proposed methodology, fuzzy set theory is used to account for design uncertainty, and the method of imprecision (MoI) is employed to perform multiple-attribute synthesis to generate a family of synthesis strategies by varying the value of s, which indicates the different compensation levels among ECs. The proposed methodology will allow QFD practitioners to control the distribution of their development budget by presetting the value of s to determine the compensation levels among ECs. An illustrative example of the quality improvement of the design of a motor car is provided to demonstrate the application and performance of the modelling approach.
Original languageEnglish
Pages (from-to)6823-6840
Number of pages18
JournalInternational Journal of Production Research
Issue number24
Publication statusPublished - 1 Dec 2008


  • Complex product planning (CPP)
  • Fuzzy set theory
  • Method of imprecision (MoI)
  • Optimization
  • Quality function deployment (QFD)

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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