Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form design
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 emotio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Japan Society of Mechanical Engineers
2016-12-01
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| Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/10/9/10_2016jamdsm0108/_pdf/-char/en |
| _version_ | 1828265138277318656 |
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| author | Sugoro Bhakti SUTONO Salwa Hanim ABDUL-RASHID Hideki AOYAMA Zahari TAHA |
| author_facet | Sugoro Bhakti SUTONO Salwa Hanim ABDUL-RASHID Hideki AOYAMA Zahari TAHA |
| author_sort | Sugoro Bhakti SUTONO |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T04:34:08Z |
| format | Article |
| id | doaj.art-555a6e9aafdf40a68994abe1fac54c47 |
| institution | Directory Open Access Journal |
| issn | 1881-3054 |
| language | English |
| last_indexed | 2024-04-13T04:34:08Z |
| publishDate | 2016-12-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| spelling | doaj.art-555a6e9aafdf40a68994abe1fac54c472022-12-22T03:02:13ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542016-12-01109JAMDSM0108JAMDSM010810.1299/jamdsm.2016jamdsm0108jamdsmFuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form designSugoro Bhakti SUTONO0Salwa Hanim ABDUL-RASHID1Hideki AOYAMA2Zahari TAHA3Centre for Product Design and Manufacturing, Department of Mechanical Engineering, Faculty of Engineering, University of MalayaCentre for Product Design and Manufacturing, Department of Mechanical Engineering, Faculty of Engineering, University of MalayaDepartment of System Design Engineering, Keio UniversityFaculty of Manufacturing Engineering, Universiti Malaysia PahangAn 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.https://www.jstage.jst.go.jp/article/jamdsm/10/9/10_2016jamdsm0108/_pdf/-char/enmulti-response optimizationproduct designtaguchi methodfuzzy logickansei engineering |
| spellingShingle | Sugoro Bhakti SUTONO Salwa Hanim ABDUL-RASHID Hideki AOYAMA Zahari TAHA Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form design Journal of Advanced Mechanical Design, Systems, and Manufacturing multi-response optimization product design taguchi method fuzzy logic kansei engineering |
| title | Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form design |
| title_full | Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form design |
| title_fullStr | Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form design |
| title_full_unstemmed | Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form design |
| title_short | Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form design |
| title_sort | fuzzy based taguchi method for multi response optimization of product form design in kansei engineering a case study on car form design |
| topic | multi-response optimization product design taguchi method fuzzy logic kansei engineering |
| url | https://www.jstage.jst.go.jp/article/jamdsm/10/9/10_2016jamdsm0108/_pdf/-char/en |
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