Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : October 15, 2018 - October 16, 2018
Due to maturation of science and technology, it becomes increasingly difficult to differentiate products in terms of performance, functional feature or price. Therefore, companies are required to differentiate their products in terms of subjective and abstract qualities such as aesthetic and ergonomics whose evaluation depends on customer feeling i.e. kansei. For years, various aesthetic design methods that consider customer kansei have been developed, but diversity of customers’ kansei is still a big problem. More specifically, since customers’ kansei and preferences are quite diverse, it is quite difficult to design mass-produced products that satisfy all customers. To overcome such problem, a new aesthetic design method considering variation of customers’ kansei is proposed in this report. In the proposed method, customers evaluate existing products using SD method and the relationships between their evaluation results and design parameters of evaluated products are approximated by response surfaces. Since impressions taken from a certain product can be estimated by using a response surface, optimal values of design parameters that give particular impressions to all customers which a designer intends are then explored. However, since different response surfaces are obtained for each customer due to the diversity of their kansei, satisfactory degree that represents the difference from targeted impressions is calculated for each customer and a multi objective design optimization considering the mean and variance of customers’ satisfactory degree is performed. In the case study, to evaluate the impact of variation of customers’ kansei on optimization results, the proposed method is applied to a simple mathematical model.
