The analysis of design product preferences using curve fitted profiling

This study discussed about the characteristics of product design based on customer emotional preferences related to the ‘Kansei Engineering’ towards ‘the Curve Fitted Profiling' using mathematical approach. The focus of this project is identify and analyze the customer preferences compared to t...

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Main Authors: Sihombing, Haeryip, Wan Yaacob, Wan Nur Hidayah, Sulaiman, Shamsuddin, Yaakob, Mohd Yuhazri
Format: Conference or Workshop Item
Language:English
Published: Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka 2017
Online Access:http://psasir.upm.edu.my/id/eprint/67118/1/MERD17-2-1.pdf
http://psasir.upm.edu.my/id/eprint/67118/
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spelling my.upm.eprints.671182019-03-08T06:23:26Z http://psasir.upm.edu.my/id/eprint/67118/ The analysis of design product preferences using curve fitted profiling Sihombing, Haeryip Wan Yaacob, Wan Nur Hidayah Sulaiman, Shamsuddin Yaakob, Mohd Yuhazri This study discussed about the characteristics of product design based on customer emotional preferences related to the ‘Kansei Engineering’ towards ‘the Curve Fitted Profiling' using mathematical approach. The focus of this project is identify and analyze the customer preferences compared to the image manipulated of product into Bezier curves. This study use 20 city cars design in the developed questionnaires were distributed in Malaysia. From the data gathered, this study found that the customer characteristics can be identified through the certain variables of the Bezier curves equation. In this study, the mostly preferences of city car profile design is VW car. Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/67118/1/MERD17-2-1.pdf Sihombing, Haeryip and Wan Yaacob, Wan Nur Hidayah and Sulaiman, Shamsuddin and Yaakob, Mohd Yuhazri (2017) The analysis of design product preferences using curve fitted profiling. In: 4th Mechanical Engineering Research Day 2017 (MERD'17), 30 Mar. 2017, UTeM Library, Melaka. (pp. 136-137).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This study discussed about the characteristics of product design based on customer emotional preferences related to the ‘Kansei Engineering’ towards ‘the Curve Fitted Profiling' using mathematical approach. The focus of this project is identify and analyze the customer preferences compared to the image manipulated of product into Bezier curves. This study use 20 city cars design in the developed questionnaires were distributed in Malaysia. From the data gathered, this study found that the customer characteristics can be identified through the certain variables of the Bezier curves equation. In this study, the mostly preferences of city car profile design is VW car.
format Conference or Workshop Item
author Sihombing, Haeryip
Wan Yaacob, Wan Nur Hidayah
Sulaiman, Shamsuddin
Yaakob, Mohd Yuhazri
spellingShingle Sihombing, Haeryip
Wan Yaacob, Wan Nur Hidayah
Sulaiman, Shamsuddin
Yaakob, Mohd Yuhazri
The analysis of design product preferences using curve fitted profiling
author_facet Sihombing, Haeryip
Wan Yaacob, Wan Nur Hidayah
Sulaiman, Shamsuddin
Yaakob, Mohd Yuhazri
author_sort Sihombing, Haeryip
title The analysis of design product preferences using curve fitted profiling
title_short The analysis of design product preferences using curve fitted profiling
title_full The analysis of design product preferences using curve fitted profiling
title_fullStr The analysis of design product preferences using curve fitted profiling
title_full_unstemmed The analysis of design product preferences using curve fitted profiling
title_sort analysis of design product preferences using curve fitted profiling
publisher Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/67118/1/MERD17-2-1.pdf
http://psasir.upm.edu.my/id/eprint/67118/
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score 13.211869