Determination of an optimal set of design requirements using house of quality

Taeho Park · Kwang‐Jae Kim

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Quality Function Deployment in Product Design Multi-Criteria Decision Making Product Development and Customization

Abstract

Abstract Quality Function Deployment (QFD) has been used to translate customer needs and wants into technical design requirements in order to increase customer satisfaction. QFD utilizes the house of quality (HOQ), which is a matrix providing a conceptual map for the design process, as a construct for understanding Customer Requirements (CRs) and establishing priorities of Design Requirements (DRs) to satisfy them. Some methodological issues occurring in the conventional HOQ are discussed, and then a new integrative decision model for selecting an optimal set of DRs is presented using a modified HOQ model. The modified HOQ prioritization procedure employs a multi‐attribute decision method for assigning relationship ratings between CRs and DRs instead of a conventional relationship rating scale, such as 1–3–9. The proposed decision model has been applied to an indoor air quality improvement problem as an illustrative example.

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References

1985The Analytic Hierarchy Process 1979Optimization by the Analytic Hierarchy Process 1986Decision analysis and behavioral research 1993The Voice of the Customer 1990Quality Function Deployment : Integrating Customer Requirements into Product Design 1977How to Use Multiattribute Utility Measurement for Social Decisionmaking 1993ON HOW TO PRIORITIZE DESIGN REQUIREMENTS DURING THE QFD PLANNING PROCESS 1994AN AHP FRAMEWORK FOR PRIORITIZING CUSTOMER REQUIREMENTS IN QFD: AN INDUSTRIALIZED HOUSING APPLICATION

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2002A Comparative Study of Using Grey Relational Analysis in Multiple Attribute Decision Making Problems 2004An analytic model for locating facilities strategically 2006Customer Requirement Management in Product Development: A Review of Research Issues 2007Integration of Kano's Model Into QFD for Multiple Product Design 2011Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment

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