Introduction
Chapter 1 mentioned that quality function deployment (QFD) is a commonly used method to support product planning. QFD utilizes four sets of matrices called Houses of Quality (HOQ) to relate customer requirements to product planning, parts deployment, process planning and manufacturing operations (Hauser and Clausing, 1988). In essence, QFD is a systematic and graphical approach, intended to help a design team understand a product’s essential requirements, internal capabilities and constraints, and thereby helps it fulfill customer requirements. Customer requirements acquired from markets are typically qualitative and usually ambiguous in nature, especially for consumer products. Under QFD, customer requirements are mapped into engineering characteristics. Engineering characteristics might not be specific design details or solutions, but they should be measurable. Target values of engineering characteristics, normally housed at the bottom of a HOQ, provide definitive and quantitative technical specifications for new products. This involves a complex decision-making process with multiple variables and in practice, it is normally accomplished in a subjective or heuristic manner.
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Chan, K.Y., Kwong, C.K., Dillon, T.S. (2012). Generalized Fuzzy Least Square Regression for Generating Customer Satisfaction Models. In: Computational Intelligence Techniques for New Product Design. Studies in Computational Intelligence, vol 403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27476-3_7
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DOI: https://doi.org/10.1007/978-3-642-27476-3_7
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