A fuzzy group decision-making method in the relationship between customer requirements and technical measures of quality function deployment

Chin Hung Liu, Hsin Hung Wu

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Quality function deployment (QFD) was developed in Japan and used extensively by Toyota and its suppliers. The process results in a matrix, referred to as the "house of quality," for a particular product that relates customer requirements to technical measures. Determining the relationship between customer requirements and technical measures is a typical group decision-making process in QFD by a cross-functional team. Generally, different and/or even subjective opinions are happened often in a group decision-making process due to the limitations of experience and vagueness. Obviously, the relationship between customer requirements and technical measures are determined by a group of people with imprecision and vagueness. Under such circumstances, a fuzzy group decision-making method can be applied in the relationship between customer requirements and technical measures of QFD to deal with a group decision-making process when the information is filled with imprecision and fuzziness. Moreover, an example is presented as well as the procedures to show how this fuzzy group decision-making method can be effectively used in QFD to make decisions with imprecision and vagueness. Significance: Quality function deployment (QFD) provides aframework for translating customer satisfaction into identifiable and measurable conformance specifications for product or service design. The application of a fuzzy group decision-making method in ranking the importance for each technical measure of QFD is studied in this paper.

Original languageEnglish
Pages (from-to)211-219
Number of pages9
JournalInternational Journal of Industrial Engineering : Theory Applications and Practice
Volume15
Issue number2
Publication statusPublished - 2008 Jun 1

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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