Education and Implementation of an Approach for New Product Design: An Industry-University Collaboration

Olewnik, Andrew; Lewis, Kemper; Hammill, Michael S.

doi:10.1115/detc2004-57320

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…QFD began as a management tool in Japan in the early 1970s (Hauser and Clausing, 1988) and in short time became popular within industry in North America at companies like General Motors (Hauser and Clausing, 1988), Ford (Hauser and Clausing, 1988), Xerox (Hauser, 1993) and many smaller firms (Qfd Institute, 2005). QFD's main component, the HoQ, is utilized as both a stand alone tool, as exemplified by Kaldate et al (2003) and as a tool integrated in larger design processes, as at Praxair, Inc. (Olewnik et al , 2004), to support product and process design. With such far reaching use and application, the HoQ might be assumed a fundamentally valid design tool.…”

Section: The House Of Quality Modelmentioning

confidence: 99%

Limitations of the House of Quality to provide quantitative design information

Olewnik¹,

Lewis

2008

International Journal of Quality &Amp; Reliability Management

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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 resultsinterpretation 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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Section: The House Of Quality Modelmentioning

confidence: 99%

Limitations of the House of Quality to provide quantitative design information

Olewnik¹,

Lewis

2008

International Journal of Quality &Amp; Reliability Management

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show abstract

“…QFD began as a management tool in Japan in the early 1970s [1] and in short time became popular within industry in North America at companies like General Motors [1], Ford [1], Xerox [2] and many smaller firms [3]. QFD's main component, the HoQ, is utilized as both a stand alone tool, as exemplified by Kaldate [4] and as a tool integrated in larger design processes, as at Praxair [5], to support product and process design. With such far reaching use and application, the HoQ might be assumed a fundamentally valid design tool.…”

Section: The House Of Quality Modelmentioning

confidence: 99%

Can a House Without a Foundation Support Design?

Olewnik

Lewis

2005

Volume 2: 31st Design Automation Conference, Parts a and B

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The House of Quality is a popular tool that supports information processing and decision making in the engineering design process. While its application is an aid in conceptual aspects of the design process, its use as a quantitative decision support tool in engineering design is potentially flawed. This flaw is a result of assumptions behind the methodology of the House of Quality and is viewed as an important deficiency that can lead to potentially invalid and poor decisions. In this paper this deficiency and its implications are explored both experimentally and empirically. The resulting conclusions are important to future use and improvement of the House of Quality as an engineering design tool.

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