Digital twin-based sustainable intelligent manufacturing: a review

被引:378
作者
He, Bin [1 ]
Bai, Kai-Jian [1 ]
机构
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Intelligent Mfg & Robot, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金;
关键词
Intelligent manufacturing; Digital twin; Advanced manufacturing; Industry; 4; 0; Sustainable manufacturing; CYBER-PHYSICAL SYSTEM; PRODUCT LIFE-CYCLE; DECISION-SUPPORT-SYSTEM; INDUSTRIAL ROBOT; SERVICE COMPOSITION; ENGINEERING DESIGN; FUNCTIONAL SYNTHESIS; MASS-CUSTOMIZATION; GENETIC ALGORITHM; EXECUTION SYSTEM;
D O I
10.1007/s40436-020-00302-5
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As the next-generation manufacturing system, intelligent manufacturing enables better quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept of sustainability is receiving increasing attention, and sustainable manufacturing is evolving. The digital twin is an emerging technology used in intelligent manufacturing that can grasp the state of intelligent manufacturing systems in real-time and predict system failures. Sustainable intelligent manufacturing based on a digital twin has advantages in practical applications. To fully understand the intelligent manufacturing that provides the digital twin, this study reviews both technologies and discusses the sustainability of intelligent manufacturing. Firstly, the relevant content of intelligent manufacturing, including intelligent manufacturing equipment, systems, and services, is analyzed. In addition, the sustainability of intelligent manufacturing is discussed. Subsequently, a digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology. Finally, combined with the current status, the future development direction of intelligent manufacturing is presented.
引用
收藏
页码:1 / 21
页数:21
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