A quality-engineering-based approach for conceptual product design

Abstract

Although many conceptual design methods have been proposed, there is still ample room for improvement. First, most conceptual design methods do not relate concepts generation by a combination of basic features to the feasibility of the concepts. Second, those methods may have ignored customer preferences in modeling concept selection. To overcome these shortcomings, a quality-engineering-based conceptual design approach is proposed in this paper by integrating the use of quality function deployment (QFD), morphological matrix analysis (MMA), multi-attribute decision-making techniques (MADM), and possibilistic optimization models (POMs). A possibility distribution function (PDF) is applied to account for the uncertainties of technology development cost in the early design stages, and a mathematical framework is established by incorporating the customer-perceived relative importance into a possibilistic optimization model for design concept selection, which plays a central role in the proposed methodology. Contrary to deterministic optimization models (DOMs), the proposed possibilistic optimization can produce results that are more informative and more reliable to the designers.