Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design
This paper presents a multi-response optimization method that uses the grey-based Taguchi method as the integrative product form design optimization method, and it serves as a tool for product form design to determine the optimal combination of design parameters in Kansei engineering (KE). This met...
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| Format: | Article |
| Language: | English |
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Universitas Andalas
2021-11-01
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| Series: | Jurnal Optimasi Sistem Industri |
| Subjects: | |
| Online Access: | https://josi.ft.unand.ac.id/index.php/josi/article/view/137 |
| _version_ | 1826533843143753728 |
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| author | Sugoro Bhakti Sutono |
| author_facet | Sugoro Bhakti Sutono |
| author_sort | Sugoro Bhakti Sutono |
| collection | DOAJ |
| description |
This paper presents a multi-response optimization method that uses the grey-based Taguchi method as the integrative product form design optimization method, and it serves as a tool for product form design to determine the optimal combination of design parameters in Kansei engineering (KE). This method is unique in that it combines the Taguchi method (TM) and grey relational analysis (GRA), allowing it to take advantage of the benefits of both methods. The TM is used to design experiments and generate combinative product form design samples which can be used to improve product quality. The GRA is applied to multi-response optimization problems. Factor effect analysis and analysis of variance (ANOVA) are used to determine which combinations of design parameters will result in the optimal product design. To demonstrate the applicability of the grey-based TM, a case study of a car form design is presented, and a confirmation test is performed to verify the performance of the optimal product design. The results show that the grey-based TM can deal with optimization problems with multiple Kansei responses and determine an optimal car form design that is representative of the consumers' perception in a systematic manner. The confirmation test results also show that the optimal product design generated by the grey-based TM can be used to improve the overall quality of a product form.
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| first_indexed | 2025-03-14T02:13:34Z |
| format | Article |
| id | doaj.art-afc309d23f2746e8a8c11434ea3d782e |
| institution | Directory Open Access Journal |
| issn | 2088-4842 2442-8795 |
| language | English |
| last_indexed | 2025-03-14T02:13:34Z |
| publishDate | 2021-11-01 |
| publisher | Universitas Andalas |
| record_format | Article |
| series | Jurnal Optimasi Sistem Industri |
| spelling | doaj.art-afc309d23f2746e8a8c11434ea3d782e2025-03-11T23:36:48ZengUniversitas AndalasJurnal Optimasi Sistem Industri2088-48422442-87952021-11-0120210.25077/josi.v20.n2.p136-146.2021Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form DesignSugoro Bhakti Sutono0Universitas Muria Kudus This paper presents a multi-response optimization method that uses the grey-based Taguchi method as the integrative product form design optimization method, and it serves as a tool for product form design to determine the optimal combination of design parameters in Kansei engineering (KE). This method is unique in that it combines the Taguchi method (TM) and grey relational analysis (GRA), allowing it to take advantage of the benefits of both methods. The TM is used to design experiments and generate combinative product form design samples which can be used to improve product quality. The GRA is applied to multi-response optimization problems. Factor effect analysis and analysis of variance (ANOVA) are used to determine which combinations of design parameters will result in the optimal product design. To demonstrate the applicability of the grey-based TM, a case study of a car form design is presented, and a confirmation test is performed to verify the performance of the optimal product design. The results show that the grey-based TM can deal with optimization problems with multiple Kansei responses and determine an optimal car form design that is representative of the consumers' perception in a systematic manner. The confirmation test results also show that the optimal product design generated by the grey-based TM can be used to improve the overall quality of a product form. https://josi.ft.unand.ac.id/index.php/josi/article/view/137grey-based Taguchioptimizationmulti-response designproduct formKansei engineering |
| spellingShingle | Sugoro Bhakti Sutono Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design Jurnal Optimasi Sistem Industri grey-based Taguchi optimization multi-response design product form Kansei engineering |
| title | Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design |
| title_full | Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design |
| title_fullStr | Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design |
| title_full_unstemmed | Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design |
| title_short | Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design |
| title_sort | grey based taguchi method to optimize the multi response design of product form design |
| topic | grey-based Taguchi optimization multi-response design product form Kansei engineering |
| url | https://josi.ft.unand.ac.id/index.php/josi/article/view/137 |
| work_keys_str_mv | AT sugorobhaktisutono greybasedtaguchimethodtooptimizethemultiresponsedesignofproductformdesign |