Abstract
The development of advanced information technologies are paving the digital transformation of manufacturing systems, of which Digital Twin-based manufacturing system (DTMS) has become a prevailing topic attracted ever-increasing concerns from both industry and academia. As a cutting-edge smart manufacturing system, DTMS can improve manufacturing accuracy and efficiency based on high fidelity simulation, near real-time monitoring and control in a cyber-physical integrated manner. However, the connotation and boundary of DTMS lack a clear definition and systematic analysis. Therefore, this paper reviews the existing Digital Twin reference models and implementation architectures on manufacturing system, and further proposes a reference model of DTMS. Based on it, the characteristics and operational mechanism of DTMS are analyzed from three perspectives: hierarchy, dimension, and scale. Specifically, the composition of DTMS is described from a multi-level perspective, the specific characteristics of the DTMS are analyzed from a multi-dimensional perspective, and the temporal and spatial characteristics of the DTMS under different application scenarios are depicted from a multi-scale perspective, respectively. At last, the potential research directions of DTMS are highlighted in terms of reusability, interpretability and adaptability. It is envisioned that this work can provide a clear understanding with insightful knowledge to attract more in-depth research of DTMS.
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Abbreviations
- DTMS:
-
Digital Twin-based manufacturing system
- SM:
-
Smart manufacturing
- MS:
-
Manufacturing system
- SMS:
-
Smart manufacturing system
- U-L:
-
Unit-level
- S-L:
-
System-level
- SoS-L:
-
System of system-level
- PL:
-
Production line
- SF:
-
Shop-floor
- DT:
-
Digital Twin
- P2V:
-
The process from physical space to the virtual space
- V2P:
-
The process from virtual space to the physical space
- R&D:
-
Research and development
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Acknowledgements
This work is financially supported in part by the National Key Research and Development Plan of China (Grant 2019YFB1706300). Besides, this research is partially funded by State Key Laboratory of Ultra-Precision Machining Technology (Project No. 1-BBR2) and the Postdoc Matching Fund Scheme (1-W24N), The Hong Kong Polytechnic University, HKSAR, China.
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SL: Conceptualization, Methodology, Software, Writing—original draft, Writing—review & editing. PZ: Conceptualization, Methodology, Writing—review & editing, Supervision. JB: Supervision, Project administration, Funding acquisition.
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Liu, S., Zheng, P. & Bao, J. Digital Twin-based manufacturing system: a survey based on a novel reference model. J Intell Manuf (2023). https://doi.org/10.1007/s10845-023-02172-7
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DOI: https://doi.org/10.1007/s10845-023-02172-7