Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (1): 1-21.doi: 10.1007/s40436-020-00302-5

• •    下一篇

Digital twin-based sustainable intelligent manufacturing: a review

Bin He, Kai-Jian Bai   

  1. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, People's Republic of China
  • 收稿日期:2019-06-29 修回日期:2019-09-04 出版日期:2021-03-25 发布日期:2021-02-27
  • 通讯作者: Bin He E-mail:mehebin@gmail.com
  • 基金资助:
    The work was supported by the National Natural Science Foundation of China (Grant No. 51675319), and Shanghai Science and Technology Committee Project (Grant No. 19511104702).

Digital twin-based sustainable intelligent manufacturing: a review

Bin He, Kai-Jian Bai   

  1. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, People's Republic of China
  • Received:2019-06-29 Revised:2019-09-04 Online:2021-03-25 Published:2021-02-27
  • Contact: Bin He E-mail:mehebin@gmail.com
  • Supported by:
    The work was supported by the National Natural Science Foundation of China (Grant No. 51675319), and Shanghai Science and Technology Committee Project (Grant No. 19511104702).

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.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-020-00302-5

关键词: Intelligent manufacturing, Digital twin, Advanced manufacturing, Industry 4.0, Sustainable manufacturing

Abstract: 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.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-020-00302-5

Key words: Intelligent manufacturing, Digital twin, Advanced manufacturing, Industry 4.0, Sustainable manufacturing