A hybrid model to develop aesthetic product design of customer satisfaction

Abstract

With the improvement of manufacturing technology, the performance gap between different products has been gradually narrowed, and customers pay more and more attention to psychological feelings and aesthetic experiences in the process of purchasing and using products. Therefore, the main purpose of this research is to construct a hybrid model of aesthetic product design to develop customer satisfaction. Firstly, seven customer aesthetic needs are summarized by discussing the literature. The Kansei evaluation and customer satisfaction evaluation are investigated using Likert-scale, and the neural network is repeatedly trained and tested to obtain the weight of each aesthetic requirement. Secondly, the morphological analysis method is used to obtain the product morphological deconstruction table, and the entropy method is used to calculate the initial weights of the engineering characteristics (ECs). Finally, quality function development (QFD) is used as the platform to construct the relationship matrix between customer aesthetic needs and product ECs. Grey relationship analysis is used to calculate the final weight of ECs and obtain the priority of ECs. The research takes the side view of a car as a case. The results show that the best product form combination can provide a reference for designers and effectively improve the aesthetic experience and customer satisfaction of the product.