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Progress and Challenges in Generative Product Design: A Review of Systems

Design is a challenging task that is crucial to all product development. Advances in design computing may allow machines to move from a supporting role to generators of design content. Generative Design systems produce designs by algorithms and offer the potential for the exploration of vast design...

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Main Authors: James Mountstephens, Jason Teo
Format: Article
Language:English
English
Published: 2020
Subjects:
Q Science (General)
Online Access:https://eprints.ums.edu.my/id/eprint/26626/1/Progress%20and%20Challenges%20in%20Generative%20Product%20Design%20A%20Review%20of%20Systems.pdf
https://eprints.ums.edu.my/id/eprint/26626/2/Progress%20and%20Challenges%20in%20Generative%20Product%20Design%20A%20Review%20of%20Systems%201.pdf
https://eprints.ums.edu.my/id/eprint/26626/
http://dx.doi.org/10.3390/computers9040080
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spelling my.ums.eprints.266262021-01-14T08:19:40Z https://eprints.ums.edu.my/id/eprint/26626/ Progress and Challenges in Generative Product Design: A Review of Systems James Mountstephens Jason Teo Q Science (General) Design is a challenging task that is crucial to all product development. Advances in design computing may allow machines to move from a supporting role to generators of design content. Generative Design systems produce designs by algorithms and offer the potential for the exploration of vast design spaces, the fostering of creativity, the combination of objective and subjective requirements, and the revolutionary integration of conceptual and detailed design phases. The application of generative methods to the design of discrete, physical, engineered products has not yet been reviewed. This paper reviews the Generative Product Design systems developed since 1998 in order to identify significant approaches and trends. Systems are analyzed according to their primary goal, generative method, the design phase they focus on, whether the generation is automatic or interactive, the number of design options they generate, and the types of design requirements involved in the generation process. Progress using this approach is recognized, and a number of challenges that must be addressed in order to achieve widespread acceptance are identified. Possible solutions are offered, including innovative approaches in Human–Computer Interaction. 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/26626/1/Progress%20and%20Challenges%20in%20Generative%20Product%20Design%20A%20Review%20of%20Systems.pdf text en https://eprints.ums.edu.my/id/eprint/26626/2/Progress%20and%20Challenges%20in%20Generative%20Product%20Design%20A%20Review%20of%20Systems%201.pdf James Mountstephens and Jason Teo (2020) Progress and Challenges in Generative Product Design: A Review of Systems. computers, 9 (80). pp. 1-23. http://dx.doi.org/10.3390/computers9040080
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic Q Science (General)
spellingShingle Q Science (General)
James Mountstephens
Jason Teo
Progress and Challenges in Generative Product Design: A Review of Systems
description Design is a challenging task that is crucial to all product development. Advances in design computing may allow machines to move from a supporting role to generators of design content. Generative Design systems produce designs by algorithms and offer the potential for the exploration of vast design spaces, the fostering of creativity, the combination of objective and subjective requirements, and the revolutionary integration of conceptual and detailed design phases. The application of generative methods to the design of discrete, physical, engineered products has not yet been reviewed. This paper reviews the Generative Product Design systems developed since 1998 in order to identify significant approaches and trends. Systems are analyzed according to their primary goal, generative method, the design phase they focus on, whether the generation is automatic or interactive, the number of design options they generate, and the types of design requirements involved in the generation process. Progress using this approach is recognized, and a number of challenges that must be addressed in order to achieve widespread acceptance are identified. Possible solutions are offered, including innovative approaches in Human–Computer Interaction.
format Article
author James Mountstephens
Jason Teo
author_facet James Mountstephens
Jason Teo
author_sort James Mountstephens
title Progress and Challenges in Generative Product Design: A Review of Systems
title_short Progress and Challenges in Generative Product Design: A Review of Systems
title_full Progress and Challenges in Generative Product Design: A Review of Systems
title_fullStr Progress and Challenges in Generative Product Design: A Review of Systems
title_full_unstemmed Progress and Challenges in Generative Product Design: A Review of Systems
title_sort progress and challenges in generative product design: a review of systems
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/26626/1/Progress%20and%20Challenges%20in%20Generative%20Product%20Design%20A%20Review%20of%20Systems.pdf
https://eprints.ums.edu.my/id/eprint/26626/2/Progress%20and%20Challenges%20in%20Generative%20Product%20Design%20A%20Review%20of%20Systems%201.pdf
https://eprints.ums.edu.my/id/eprint/26626/
http://dx.doi.org/10.3390/computers9040080
_version_ 1760230523129561088
score 13.211869

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