摘要
Understanding the needs of consumers is essential to the success of product design. Affective responses are a reflection of affective needs, often encompassing many aspects. Therefore, the process of designing products capable of satisfying multiple affective responses (MARs) falls into the category of multi-objective optimization (MOO). To solve the MOO problem, most existing approaches require the information for decision-making before or during the solving process, which limits their usefulness to designers or consumers. This paper proposes a posterior preference articulation approach to Kansei engineering system aimed at optimizing product form design to deal with MARs simultaneously. Design analysis is first used to identify design variables and MARs. Based on these results, a MOO model that involves maximizing MRAs is constructed. An improved version of the strength Pareto evolutionary algorithm (SPEA2) is applied to solve this MOO model so as to obtain Pareto solutions. After that, the Choquet fuzzy integral, which has the ability to take into account the interaction among the MARs, is employed to determine the optimal design from the Pareto solutions in accordance with the consumer preference. A case study involving the design of a vase form was conducted to illustrate the proposed approach. The results demonstrate that this approach can effectively obtain the optimal design solution, and be used as a universal approach for optimizing product form design concerning MARs.
| 原文 | English |
|---|---|
| 頁（從 - 到） | 3-19 |
| 頁數 | 17 |
| 期刊 | Research in Engineering Design |
| 卷 | 30 |
| 發行號 | 1 |
| DOIs | |
| 出版狀態 | Published - 2019 一月 9 |
指紋
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Architecture
- Mechanical Engineering
- Industrial and Manufacturing Engineering
引用此文
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A posterior preference articulation approach to Kansei engineering system for product form design. / Li, Yongfeng; Shieh, Meng-Dar; Yang, Chih Chieh.
於: Research in Engineering Design, 卷 30, 編號 1, 09.01.2019, p. 3-19.研究成果: Article
TY - JOUR
T1 - A posterior preference articulation approach to Kansei engineering system for product form design
AU - Li, Yongfeng
AU - Shieh, Meng-Dar
AU - Yang, Chih Chieh
PY - 2019/1/9
Y1 - 2019/1/9
N2 - Understanding the needs of consumers is essential to the success of product design. Affective responses are a reflection of affective needs, often encompassing many aspects. Therefore, the process of designing products capable of satisfying multiple affective responses (MARs) falls into the category of multi-objective optimization (MOO). To solve the MOO problem, most existing approaches require the information for decision-making before or during the solving process, which limits their usefulness to designers or consumers. This paper proposes a posterior preference articulation approach to Kansei engineering system aimed at optimizing product form design to deal with MARs simultaneously. Design analysis is first used to identify design variables and MARs. Based on these results, a MOO model that involves maximizing MRAs is constructed. An improved version of the strength Pareto evolutionary algorithm (SPEA2) is applied to solve this MOO model so as to obtain Pareto solutions. After that, the Choquet fuzzy integral, which has the ability to take into account the interaction among the MARs, is employed to determine the optimal design from the Pareto solutions in accordance with the consumer preference. A case study involving the design of a vase form was conducted to illustrate the proposed approach. The results demonstrate that this approach can effectively obtain the optimal design solution, and be used as a universal approach for optimizing product form design concerning MARs.
AB - Understanding the needs of consumers is essential to the success of product design. Affective responses are a reflection of affective needs, often encompassing many aspects. Therefore, the process of designing products capable of satisfying multiple affective responses (MARs) falls into the category of multi-objective optimization (MOO). To solve the MOO problem, most existing approaches require the information for decision-making before or during the solving process, which limits their usefulness to designers or consumers. This paper proposes a posterior preference articulation approach to Kansei engineering system aimed at optimizing product form design to deal with MARs simultaneously. Design analysis is first used to identify design variables and MARs. Based on these results, a MOO model that involves maximizing MRAs is constructed. An improved version of the strength Pareto evolutionary algorithm (SPEA2) is applied to solve this MOO model so as to obtain Pareto solutions. After that, the Choquet fuzzy integral, which has the ability to take into account the interaction among the MARs, is employed to determine the optimal design from the Pareto solutions in accordance with the consumer preference. A case study involving the design of a vase form was conducted to illustrate the proposed approach. The results demonstrate that this approach can effectively obtain the optimal design solution, and be used as a universal approach for optimizing product form design concerning MARs.
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UR - http://www.scopus.com/inward/citedby.url?scp=85053889775&partnerID=8YFLogxK
U2 - 10.1007/s00163-018-0297-4
DO - 10.1007/s00163-018-0297-4
M3 - Article
AN - SCOPUS:85053889775
VL - 30
SP - 3
EP - 19
JO - Research in Engineering Design - Theory, Applications, and Concurrent Engineering
JF - Research in Engineering Design - Theory, Applications, and Concurrent Engineering
SN - 0934-9839
IS - 1
ER -