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- Title
Data-informed inverse design by product usage information: a review, framework and outlook.
- Authors
Hou, Liang; Jiao, Roger J.
- Abstract
A significant body of knowledge exists on inverse problems and extensive research has been conducted on data-driven design in the past decade. This paper provides a comprehensive review of the state-of-the-art methods and practice reported in the literature dealing with many different aspects of data-informed inverse design. By reviewing the origins and common practice of inverse problems in engineering design, the paper presents a closed-loop decision framework of product usage data-informed inverse design. Specifically reviewed areas of focus include data-informed inverse requirement analysis by user generated content, data-informed inverse conceptual design for product innovation, data-informed inverse embodiment design for product families and product platforming, data-informed inverse analysis and optimization in detailed design, along with prevailing techniques for product usage data collection and analytics. The paper also discusses the challenges of data-informed inverse design and the prospects for future research.
- Subjects
PRODUCT design; CONCEPTUAL design; REQUIREMENTS engineering; ENGINEERING design; CLOSED loop systems; INVERSE problems; QUALITY function deployment
- Publication
Journal of Intelligent Manufacturing, 2020, Vol 31, Issue 3, p529
- ISSN
0956-5515
- Publication type
Article
- DOI
10.1007/s10845-019-01463-2