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Limitations of the House of Quality to provide quantitative design information

50 citations0/0 files storedInternational Journal of Quality & Reliability Management

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Quality Function Deployment in Product Design Manufacturing Process and Optimization Product Development and Customization

Abstract

Purpose The House of Quality (HoQ) is a popular design tool that supports information processing and decision making in the engineering design process. While its application is an aid to conceptual aspects of the design process, its use as a quantitative information tool in engineering design is potentially flawed. This flaw is a result of potential designer interpretation of the HoQ results – interpretation which is invalid given the assumptions and information sources behind the HoQ – and is viewed as a critical limitation on the results of the method which can lead to potentially invalid and/or poor decisions. In this paper this limitation and its implications are explored both experimentally and through simulated application. Design/methodology/approach The approach taken in this research is to first study the HoQ through a “digital experiment” in order to identify the key factors that drive the quantitative results within the tool. Based on the results of the experiment, an example HoQ for a hair dryer is used to empirically study the resulting dangers of the quantitative information which results from the HoQ. Findings Through this research study of the HoQ, it is determined that while the tool offers conceptual support to the design process, the quantitative information that results is largely invalid. Research implications/limitations For the research community the results in this paper create motivation for continued improvement of the HoQ tool from a conceptual, qualitative design aid to a sound quantitative tool. The results indicate exactly where the methodology must be improved. Originality/value For users of QFD, specifically the HoQ, the results of this research provide evidence to the limitations of the tool in providing quantitative information for design.

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References

1978Conjoint Analysis in Consumer Research: Issues and Outlook 1988The House of Quality 2000Implementing Six Sigma: Smarter Solutions Using Statistical Methods 2000Methods and techniques to help quality function deployment (QFD)2005On Validating Engineering Design Decision Support Tools

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