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Appl. Sci. 2018, 8(1), 91; doi:10.3390/app8010091

Developing Automatic Form and Design System Using Integrated Grey Relational Analysis and Affective Engineering

1
Department of Visual Communication Design, National Yunlin University of Science and Technology, Douliu, Yunlin 64002, Taiwan
2
Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu 30010, Taiwan
*
Author to whom correspondence should be addressed.
Received: 15 November 2017 / Revised: 28 December 2017 / Accepted: 4 January 2018 / Published: 10 January 2018
(This article belongs to the Special Issue Selected Papers from IEEE ICICE 2017)
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Abstract

In the modern highly competitive marketplace and global market environment, product quality improvements that abridge development time and reduce the production costs are effective methods for promoting the business competitiveness of a product in shorter lifecycles. Since the design process is the best time to control such parameters, systematically designing the processes to develop a product that more closely fits the demand requirements for the market is a key factor for developing a successful product. In this paper, a combined affective engineering method and grey relational analysis are used to develop a product design process. First, design image scale technology is used to acquire the best the design criteria factors, and then affective engineering methods are used to set the relationships between customer needs and production factors. Finally, grey relational analysis is used to select the optimal design strategy. Using this systematic design method, a higher quality product can be expanded upon in a shorter lead-time for improving business competition. View Full-Text
Keywords: grey system theory; affective engineering; design image scale technology; product design grey system theory; affective engineering; design image scale technology; product design
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Liu, C.-Y.; Tong, L.-I. Developing Automatic Form and Design System Using Integrated Grey Relational Analysis and Affective Engineering. Appl. Sci. 2018, 8, 91.

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