Series editor(s): Professor Arch Woodside
Subject Area: Marketing
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|Title:||INTEGRATING MARKETING MODELS WITH QUALITY FUNCTION DEPLOYMENT|
|Author(s):||Stan Aungst, Russell R. Barton, David T. Wilson|
|Volume:||12 Editor(s): Arch G. Woodside ISBN: 978-0-76231-046-3 eISBN: 978-1-84950-230-6|
|Citation:||Stan Aungst, Russell R. Barton, David T. Wilson (2003), INTEGRATING MARKETING MODELS WITH QUALITY FUNCTION DEPLOYMENT, in Arch G. Woodside (ed.) Evaluating Marketing Actions and Outcomes (Advances in Business Marketing and Purchasing, Volume 12), Emerald Group Publishing Limited, pp.89-140|
|DOI:||10.1016/S1069-0964(03)12003-0 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Article type:||Chapter Item|
Quality Function Deployment (QFD) proposes to take into account the “voice of the customer,” through a list of customer needs, which are (qualitatively) mapped to technical requirements in House One. But customers do not perceive products in this space, nor do they not make purchase decisions in this space. Marketing specialists use statistical models to map between a simpler space of customer perceptions and the long and detailed list of needs. For automobiles, for example, the main axes in perceptual space might be categories such as luxury, performance, sport, and utility. A product’s position on these few axes determines the detailed customer requirements consistent with the automobiles’ position such as interior volume, gauges and accessories, seating type, fuel economy, door height, horsepower, interior noise level, seating capacity, paint colors, trim, and so forth. Statistical models such as factor analysis and principal components analysis are used to describe the mapping between these spaces, which we call House Zero.
This paper focus on House One. Two important steps of the product development process using House One are: (1) setting technical targets; (2) identifying the inherent tradeoffs in a design including a position of merit. Utility functions are used to determine feature preferences for a product. Conjoint analysis is used to capture the product preference and potential market share. Linear interpolation and the slope point formula are used to determine other points of customer needs. This research draws from the formal mapping concepts developed by Nam Suh and the qualitative maps of quality function deployment, to present unified information and mapping paradigm for concurrent product/process design. This approach is the virtual integrated design method that is tested upon data from a business design problem.
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