Resumen de Optimisation of product form design using fuzzy integral-based Taguchi method
The trend of industrial product design is changing towards consumer-centered. Affective responses that concern consumers’ affective needs have been recognised as invaluable in industrial product form design and have received increasing attention. To design a product form that appeals to consumers, designers should consider multiple affective responses (MARs). This paper proposes a robust design approach that uses a fuzzy integral-based Taguchi method to obtain the optimal product form design related to MARs. Design analysis is first used to identify design variables and MARs. According to the results, a Taguchi experiment is conducted and the signal-to-noise (S/N) ratios are computed. A multiperformance characteristic index (MPCI) is then defined based on the fuzzy integral value (FIV), and thus, the S/N ratios are converted into a single performance index. According to the FIV, the effects of design variables are identified through analysis of variance (ANOVA), and the response table and response graph are derived. Consequently, the optimal form design is obtained. A car profile design experiment is conducted to illustrate the proposed approach. The result shows that this approach can effectively enhance consumers’ affective response qualities, and be used as a universal robust design approach for optimising product form design.
