将数据科学与产品设计相结合,实现数据驱动设计

IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Ang Liu (2) , Stephen Lu (1) , Fei Tao (2) , Nabil Anwer (1)
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引用次数: 0

摘要

本文旨在研究数据科学与产品设计的科学整合,以实现数据驱动设计(D3)。数据科学具有通过洞察提取、预测分析和自动决策促进设计决策的潜力。我们从四个维度对各种 D3 应用进行了系统的范围审查:设计维度涉及设计操作,数据维度涉及流行的数据源和常见的数据相关挑战,方法维度涉及方法论基础,社会/伦理维度涉及社会/伦理方面的考虑和影响。基于最新研究成果,本文还强调了这一动态领域未来可能的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of data science with product design towards data-driven design

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.

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来源期刊
Cirp Annals-Manufacturing Technology
Cirp Annals-Manufacturing Technology 工程技术-工程:工业
CiteScore
7.50
自引率
9.80%
发文量
137
审稿时长
13.5 months
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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