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 meth...

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Autor principal:	Sugoro Bhakti Sutono
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Andalas 2021
Materias:	grey-based taguchi optimization multi-response design product form kansei engineering Industry HD2321-4730.9
Acceso en línea:	https://doaj.org/article/2dce952060454227aec1b15e6a68ddbb
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spelling	oai:doaj.org-article:2dce952060454227aec1b15e6a68ddbb2021-12-02T22:52:18ZGrey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design2088-48422442-879510.25077/josi.v20.n2.p136-146.2021https://doaj.org/article/2dce952060454227aec1b15e6a68ddbb2021-11-01T00:00:00Zhttp://josi.ft.unand.ac.id/index.php/josi/article/view/546https://doaj.org/toc/2088-4842https://doaj.org/toc/2442-8795This 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.Sugoro Bhakti SutonoUniversitas Andalasarticlegrey-based taguchioptimizationmulti-response designproduct formkansei engineeringIndustryHD2321-4730.9ENIDJurnal Optimasi Sistem Industri, Vol 20, Iss 2, Pp 136-146 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	grey-based taguchi optimization multi-response design product form kansei engineering Industry HD2321-4730.9
spellingShingle	grey-based taguchi optimization multi-response design product form kansei engineering Industry HD2321-4730.9 Sugoro Bhakti Sutono Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design
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.
format	article
author	Sugoro Bhakti Sutono
author_facet	Sugoro Bhakti Sutono
author_sort	Sugoro Bhakti Sutono
title	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_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_sort	grey-based taguchi method to optimize the multi-response design of product form design
publisher	Universitas Andalas
publishDate	2021
url	https://doaj.org/article/2dce952060454227aec1b15e6a68ddbb
work_keys_str_mv	AT sugorobhaktisutono greybasedtaguchimethodtooptimizethemultiresponsedesignofproductformdesign
_version_	1718374040920391680

Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design

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