Comparison of multi-objective evolutionary algorithms in hybrid Kansei engineering system for product form design

2018 ◽  
Vol 36 ◽  
pp. 31-42 ◽  
Author(s):  
Meng-Dar Shieh ◽  
Yongfeng Li ◽  
Chih-Chieh Yang
Keyword(s):  
Evolutionary Algorithms ◽  
Product Form ◽  
Engineering System ◽  
Kansei Engineering ◽  
Multi Objective ◽  
Form Design ◽  
Product Form Design

Study on the Application of Kansei Engineering in Product Form Design

2013 ◽  
Vol 274 ◽  
pp. 513-516 ◽  
Author(s):  
Yu Qing Xu ◽  
Kun Chen ◽  
Hai Bin Qin ◽  
Zhao Yang Wang
Keyword(s):  
Product Form ◽  
Kansei Engineering ◽  
Consumer Group ◽  
Main Technique ◽  
Form Design ◽  
Main Factors ◽  
Product Form Design

Design mode of product form is constructed combining Kansei Engineering (KE) with Ergonomics. KE is used as main technique to transform consumers' feelings and images of shape, size, material, operability of product into design form futures. The main factors and problems of Kansei experiment and Kansei analysis are also identified.Ergonomics acts as the assisting technique for meeting physiological criteria of consumer group. An implement of a product form design was conducted, and then the feasibility of proposed design mode based on KE is discussed which provides related products’ reference to designers.

Product form evolutionary design system construction based on neural network model and multi-objective optimization

2020 ◽  
Vol 39 (5) ◽  
pp. 7977-7991
Author(s):  
Yixiang Wu
Keyword(s):  
Functional Relation ◽  
Product Form ◽  
Design System ◽  
Evolutionary Design ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Form Design ◽  
Product Form Design ◽  
Single Objective

The product form evolutionary design based on multi-objective optimization can satisfy the complex emotional needs of consumers for product form, but most relevant literatures mainly focus on single-objective optimization or convert multiple-objective optimization into the single objective by weighting method. In order to explore the optimal product form design, we propose a hybrid product form design method based on back propagation neural networks (BP-NN) and non-dominated sorting genetic algorithm-II (NSGA-II) algorithms from the perspective of multi-objective optimization. First, the product form is deconstructed and encoded by morphological analysis method, and then the semantic difference method is used to enable consumers to evaluate product samples under a series of perceptual image vocabularies. Then, the nonlinear complex functional relation between the consumers’ perceptual image and the morphological elements is fitted with the BP-NN. Finally, the trained BP-NN is embedded into the NSGA-II multi-objective evolutionary algorithm to derive the Pareto optimal solution. Based on the hybrid BP-NN and NSGA-II algorithms, a multi-objective optimization based product form evolutionary design system is developed with the electric motorcycle as a case. The system is proved to be feasible and effective, providing theoretical reference and method guidance for the multi-image product form design.

scholarly journals Kansei Engineering Analysis of Purple-clay Teapot Based on Online Comment Data

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Xinyu ZHANG ◽  
Bin QI ◽  
Yanpu YANG ◽  
Xiaoming SUN
Keyword(s):  
Semantic Space ◽  
Product Form ◽  
Kansei Engineering ◽  
Web Crawler ◽  
Consumer Evaluation ◽  
Product Image ◽  
Form Design ◽  
Product Form Design ◽  
Reference Index ◽  
The Relationship

Product form has become an important communication medium between designers and consumers. Therefore, the collection and analysis of consumer evaluation of products can provide an important reference index for product form design. In this paper, purple-clay teapot was taken as an example and comments of Tmall consumers were collected through web crawler, and the product image vocabulary was extracted to analyze the needs of users. Using the research method of Kansei Engineering, the semantic space of the modeling and image of purple-clay teapot was established, and the relationship between the modeling elements and the image of purple-clay teapot was searched, which could provide valuable reference for the modeling design of purple-clay teapot.

Product form design model based on the robust posterior preference articulation approach

2019 ◽  
Vol 27 (2) ◽  
pp. 126-143
Author(s):  
Yongfeng Li ◽  
Liping Zhu
Keyword(s):  
Optimization Model ◽  
Affective Responses ◽  
Product Form ◽  
Multi Objective Optimization ◽  
Pareto Solutions ◽  
Signal To Noise ◽  
Multi Objective ◽  
Model Based ◽  
Form Design ◽  
Product Form Design

Affective responses reflect consumers’ affective needs and have attracted considerable attention in industrial product form design. When designing a product for consumers, designers should take into account multiple affective responses. Therefore, designing products that can satisfy multiple affective responses is a multi-objective optimization problem. In this article, a novel model based on the robust posterior preference articulation approach is proposed to optimize product form design by simultaneously considering multiple affective responses. First, design analysis is performed to determine design variables and affective responses. Subsequently, the Taguchi method is used, and the signal-to-noise ratios are calculated. Based on the results, predictive models for signal-to-noise ratios concerning multiple affective responses are built and then a multi-objective optimization model is constructed. The reference-point-based many-objective non-dominated sorting genetic algorithm–II (called NSGA-III) is used to solve the multi-objective optimization model for obtaining Pareto solutions. Finally, a combination of the fuzzy Kano model and the fuzzy optimum selection model is adopted to select the optimal solution from the obtained Pareto solutions. A car profile design was employed to present the proposed approach. The results reveal that the proposed approach can effectively achieve an optimal design and is a robust approach for optimizing product form design.

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