Mathematical and Computational Topics in Design Studies
Hindawi Publishing Corporation
Mathematical Problems in Engineering
Volume 2015, Article ID 296029, 1 page
http://dx.doi.org/10.1155/2015/296029
Editorial
Mathematical and Computational Topics in Design Studies
Teen-Hang Meen,1 Stephen D. Prior,2 Kuei-Shu Hsu,3 and Artde Donald Kin-Tak Lam4
1
Department of Electronic Engineering, National Formosa University, Yunlin 632, Taiwan
Aeronautics, Astronautics and Computational Engineering, University of Southampton, Southampton SO17 1BJ, UK
3
Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan City 717, Taiwan
4
College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350116, China
2
Correspondence should be addressed to Teen-Hang Meen;
Received 23 March 2015; Accepted 23 March 2015
Copyright © 2015 Teen-Hang Meen et al. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.
For increasing the added value and competitiveness of
product, recently, design studies and their applications have
been paid closer attention than ever. Good design has always
been considered as the perfect combination of creativity
and experience of the designer. In contrast to engineering,
design problems had been thought as unsolvable by scientific
methods. Now, due to the advances of design studies, many
new design methods have been proposed. These methods
reduce the time consumption of design by introducing
some technical procedures and rules. Particularly, the popularization of computer and the release of many powerful
CAD tools have greatly shortened the design cycle. With
simulation software, designers reduce the time and cost of
prototyping. The advancement of machine learning, data
mining, and other techniques provides excellent tools for
information collecting, data analyzing, behavior forecast,
and decision-making. Therefore, the design complexity of
consumer behavior, social and cultural preferences, environmental impacts, and economic factors can be taken into
account properly.
Design studies include not only the study of design
itself but also marketing, service, and strategy of design. In
addition, qualitative and quantitative thinking of its influence
and the study of design education are all involved. The
researches of design have been improved enormously by
introducing the quantitative methodologies of engineering
and social science.
This special issue selects papers about the topics of (1) various computational topics of methodologies and procedures
of design, (2) mathematical techniques to reduce time and
cost of design, (3) mathematical tools or methods that assist
in the marketing or decision-making of design, (4) computational issues to promote design education, (5) computational
topics about design services or cultural, environmental,
social, and economic aspects of design, and (6) mathematical
modeling and computation about design procedure, strategy,
and management. This special issue enables interdisciplinary
collaboration between design and engineering technologists
in the academic and industrial fields.
Teen-Hang Meen
Stephen D. Prior
Kuei-Shu Hsu
Artde Donald Kin-Tak Lam
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