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Variable Selection in Product Design

Summary: [This abstract is based on the authors' abstract. A longer abstract is available on the journal's website]

A key element in off-line quality control is to identify the best set of variables to use in designing a product that will meet customers' expectations. A procedure for selecting those variables that make a product a marketplace winner is proposed. It is shown that information collected using the quality function deployment technique may be incorporated into a Bayesian variable selection model. The Bayesian setting assures flexibility in the final model specification, ensuring the inclusion of the customers' requirements in the product design.

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  • Topics: Customer Satisfaction and Value, Product Development and Recall, Quality Control, Sampling
  • Keywords: Customer expectation,Customer requirements,Product development,Product management,Quality control (QC),Sampling
  • Author: Kanyamibwa, Felicien; Christy, David P.; Fong, Duncan K.H.
  • Journal: Quality Management Journal