The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors
Abstract
Smart manufacturing is the core idea of the fourth industrial evolution. For a smart manufacturing shop floor, real-time monitoring, simulation and prediction of manufacturing operations are vital to improve the production efficiency and flexibility. In this paper, the Cyber-Physical System (CPS) and Digital Twin technologies are introduced to build the interconnection and interoperability of a physical shop floor and corresponding cybershop floor. A Digital Twin-based Cyber-Physical Production System (DT-CPPS) is further established, and the configuring mechanism, operating mechanism and real-time data-driven operations control of DT-CPPS are discussed in detail. It is expected that DT-CPPS will provide the basis for shop floors to march towards smart manufacturing.
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“Another important feature of the DT to exploit in different phases is simulation [11] [12].”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [11]
In the citing paper
“The notion of self-organizing (self-X) systems is also influencing the definition of the DT [175][176].”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [175]
Citations
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BackgroundDigital twin shop-floor: a new shop-floor paradigm towards smart manufacturing
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Cited by
Sorted by citations
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812
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A survey on AI-driven digital twins in Industry 4.0: smart manufacturing and advanced robotics
Huang, Z., Shen, Y., Li, J., Fey, M., & Brecher, C. (2021) · Sensors · doi:10.3390/s21196340 · Cited by 418
Survey on digital twins for Internet of Vehicles: Fundamentals, challenges, and opportunities
Guo, J., Bilal, M., Qiu, Y., Qian, C., Xu, X., & Raymond Choo, K.-K. (2024) · Digital Communications and Networks · doi:10.1016/j.dcan.2022.05.023 · Cited by 99
Metadata
- Authors
- Ding, K., Chan, F. T. S., Zhang, X., Zhou, G., & Zhang, F.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Chang'an University (CN)
- Xi'an Jiaotong University (CN)
- Corresponding author
- Ding, Kai
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2019-01-16
- Volume
- 57
- Issue
- 20
- Pages
- 6315-6334
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2910258701
- Cited by
- 456
- References
- 3
- Citations by year
- 2026: 46 · 2025: 53 · 2024: 54 · 2023: 71 · 2022: 68 · 2021: 76 · 2020: 61 · 2019: 27
- FWCI
- 42.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Natural Science Foundation of China (51705030, 71471158)
- Hong Kong Scholars Program (XJ2018016)
- Youth Talent Support Program of Shaanxi (20180410)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Keywords
- digital twin, cyber-physical systems, smart manufacturing, autonomous manufacturing, shop floor, real-time monitoring, production control, interoperability, Fourth Industrial Revolution
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