Ang Liu (2) , Stephen Lu (1) , Fei Tao (2) , Nabil Anwer (1)
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引用次数: 0
Abstract
This paper aims to investigate the scientific integration of data science with product design towards data-driven design (D3). Data science has potential to facilitate design decision-making through insight extraction, predictive analytics, and automatic decisions. A systematic scoping review is conduced to converge various D3 applications in four dimensions: the design dimension about design operations, the data dimension about popular data sources and common data-related challenges, the method dimension about the methodological foundations, and the social/ethical dimension about social/ethical considerations and implications. Based on the state-of-the-art, this paper also highlights potential future research avenues in this dynamic field.
期刊介绍：
CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems.
This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include:
Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.
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