TY - JOUR
T1 - Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering
T2 - A case study on car form design
AU - Sutono, Sugoro Bhakti
AU - Abdul-Rashid, Salwa Hanim
AU - Aoyama, Hideki
AU - Taha, Zahari
N1 - Funding Information:
This research was supported by the Japan International Cooperation Agency (JICA) for the ASEAN University Network-Southeast Asia Engineering Education Development Network (AUN/SEED-Net) under the Contract No.: JICA 8123227, as well as the Malaysian Ministry of Higher Education (MOHE) under the High Impact Research Grant, Grant No.: HIR-MOHE D000008-16001.
Publisher Copyright:
© 2016 The Japan Society of Mechanical Engineers.
PY - 2016
Y1 - 2016
N2 - An integrated fuzzy-based Taguchi method (TM) for multi-response optimization of product form design is presented in this paper. The fuzzy-based TM is applied to determine the optimum combination of design parameters for product form design which will fulfill consumers' aesthetic and emotional needs. Since conventional TM is incapable of handling multi-response optimization problems, a fuzzy logic system is integrated with the TM to overcome this problem. A case study of a car form design is used to demonstrate the effectiveness of the fuzzy-based TM and confirmation test is carried out to verify the method. It is found that the integrated design optimization method is capable of solving multi-response optimization problems in Kansei engineering (KE) and is able to determine the optimum combination of design parameters of a car form which are representative of consumers' perception. The optimum designs generated from the integrated design optimization method are compared with competitor designs. It is found that the integrated design optimization method gives the best overall performance.
AB - An integrated fuzzy-based Taguchi method (TM) for multi-response optimization of product form design is presented in this paper. The fuzzy-based TM is applied to determine the optimum combination of design parameters for product form design which will fulfill consumers' aesthetic and emotional needs. Since conventional TM is incapable of handling multi-response optimization problems, a fuzzy logic system is integrated with the TM to overcome this problem. A case study of a car form design is used to demonstrate the effectiveness of the fuzzy-based TM and confirmation test is carried out to verify the method. It is found that the integrated design optimization method is capable of solving multi-response optimization problems in Kansei engineering (KE) and is able to determine the optimum combination of design parameters of a car form which are representative of consumers' perception. The optimum designs generated from the integrated design optimization method are compared with competitor designs. It is found that the integrated design optimization method gives the best overall performance.
KW - Fuzzy logic
KW - Kansei engineering
KW - Multi-response optimization
KW - Product design
KW - Taguchi method
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U2 - 10.1299/jamdsm.2016jamdsm0108
DO - 10.1299/jamdsm.2016jamdsm0108
M3 - Article
AN - SCOPUS:85041793975
SN - 1881-3054
VL - 10
SP - 1
EP - 16
JO - Journal of Advanced Mechanical Design, Systems and Manufacturing
JF - Journal of Advanced Mechanical Design, Systems and Manufacturing
IS - 9
ER -