Digital twin-based sustainable intelligent manufacturing: a review
Устойчивое интеллектуальное производство на основе цифровых двойников: обзор
2020-05-04
SCID: 54.1/9hkvcdn6
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digital twinintelligent manufacturing systemspredictive maintenancereal-time monitoringsustainable intelligent manufacturing
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Abstract (AI)
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.
Key Findings
1
Digital twins enable real-time monitoring of intelligent manufacturing systems and prediction of system failures.
2
Intelligent manufacturing can improve product quality, productivity, cost efficiency, and manufacturing flexibility.
3
The review analyzes intelligent manufacturing equipment, systems, and services, and discusses their sustainability implications.
4
The review examines digital twin-based sustainable intelligent manufacturing as an emerging approach combining real-time system awareness with sustainability objectives.
5
The study surveys digital twin applications and identifies future development directions for sustainable intelligent manufacturing based on current progress.
Research Object
Digital twin-based intelligent manufacturing systems
Research Subject
the technologies, applications, sustainability, current status, and future development of intelligent manufacturing enabled by digital twins
Publication Details
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2020-05-04
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References available in scid.ai6
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Opportunities of Sustainable Manufacturing in Industry 4.02016
A Review of the Roles of Digital Twin in CPS-based Production Systems2017
The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.02017
Applications of artificial intelligence in intelligent manufacturing: a review2017
The digital twin of an industrial production line within the industry 4.0 concept2017
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