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A group decision-making method with fuzzy set theory and genetic algorithms in quality function deployment

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Abstract

Quality function deployment (QFD) has been developed by Toyota Motor Corporation in order to reduce time and shorten design times. QFD is composed of a set of matrices referred to as the house of quality (HOQ). A HOQ matrix can help the cross-functional team to translate customer requirements (CRs) into engineering goals. The importance of CRs and the relationships between CRs and technical characteristics (TCs) are obtained by a group of people with vague and fuzzy decision-making processes in the HOQ. In the conditions, a group decision-making method by using the combination of fuzzy set theory and genetic algorithms (GAs) can be used in QFD to determine the importance of each TC. Besides, a numerical example is illustrated to show that this group decision-making method by using the combination of fuzzy set theory and GAs can be reliably and precisely applied in QFD including TCs at the two-level hierarchy with the consideration of some constraints regarding budget and time limits of TCs for prioritizing TCs to effectively make decisions with fuzziness and ambiguousness.

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Authors and Affiliations

  1. Department of Business Administration, National Chin-Yi University of Technology 35, Lane 215, Sec. 1, Chung-Shan Road, Taiping City, Taichung County, 411, Taiwan, ROC

    Chin-Hung Liu

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  1. Chin-Hung Liu
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Correspondence to Chin-Hung Liu.

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Liu, CH. A group decision-making method with fuzzy set theory and genetic algorithms in quality function deployment. Qual Quant 44, 1175–1189 (2010). https://doi.org/10.1007/s11135-009-9304-1

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  • DOI: https://doi.org/10.1007/s11135-009-9304-1

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