The DOI matches its Crossref record; 12 of the 16 references it cites were found in a registry or an index.
Framework for a digital twin in manufacturing: Scope and requirements
Open accessAbstract
Digital twin has the potential to be an important concept for achieving smart manufacturing. However, there remains a lot of confusion about the concept and how it can be implemented in real manufacturing systems, especially among small-to-medium-sized enterprises. This paper synthesizes the different perspectives that have been reported on the digital twin to identify the key characteristics that must be understood when developing a digital twin for a specific use case. Example applications are provided and the need for a standardized framework, such as the one under development as ISO 23247 (Digital Twin Manufacturing Framework), is motivated. This framework can enable context-dependent implementations and promote composability and reusability of digital twin components.
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“While they enhance real-time remote monitoring and predictive maintenance [39], they also pose risks related to data security and interoperability when integrated with legacy systems [41,42].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [42]
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“Lack of common data standards and tools Currently, the development of the Digital Twin is challenged due to a lack of consensus on the different standards, technologies, and procedures that can be used for the implementation of a Digital Twin [42].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [42]
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Citations
Cites
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727
Digital Twin in manufacturing: A categorical literature review and classification
Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.474 · Cited by 3,612
Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing
Tao, F., & Zhang, M. (2017) · IEEE Access · doi:10.1109/access.2017.2756069 · Cited by 1,397
Digital Twin—The Simulation Aspect
Boschert, S., & Rosen, R. (2016) · Mechatronic Futures · doi:10.1007/978-3-319-32156-1_5 · Cited by 1,158
Haag, S., & Anderl, R. (2018) · Manufacturing Letters · doi:10.1016/j.mfglet.2018.02.006 · Cited by 559
Ahuett-Garza, H., & Kurfess, T. (2018) · Manufacturing Letters · doi:10.1016/j.mfglet.2018.02.011 · Cited by 284
Urbina Coronado, P. D., Lynn, R., Louhichi, W., Parto, M., Wescoat, E., & Kurfess, T. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.02.002 · Cited by 267
Life Cycle Simulation for the design of Product–Service Systems
Garetti, M., Rosa, P., & Terzi, S. (2012) · Computers in Industry · doi:10.1016/j.compind.2012.02.007 · Cited by 156
West, T., & Blackburn, M. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.09.003 · Cited by 133
Stark, R., & Damerau, T. (2021) · Digital Twin Technology · doi:10.1007/978-3-642-35950-7_16870-1 · Cited by 132
DIGITAL MANUFACTURING: REQUIREMENTS AND CHALLENGES FOR IMPLEMENTING DIGITAL SURROGATES
Shao, G., & Kibira, D. (2018) · Winter Simulation Conference · doi:10.1109/wsc.2018.8632242 · Cited by 54
Self-citationA Standards and Technology Roadmap for Scalable Distributed Manufacturing Systems
Thomas Hedberg, Jr., Helu, M., & Sprock, T. (2018) · Volume 3: Manufacturing Equipment and Systems · doi:10.1115/msec2018-6550 · Cited by 14
Self-citation
Flagged first, then by citations
4 of the 16 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Negri, 2017, A review of the roles of Digital Twin in CPS-based production systems, Procedia Manuf, 11, 939, 10.1016/j.promfg.2017.07.198 · DOI · Paper page
- Brooks B, Davidson A, Gregor I. 2014. “The Evolving Relationship between Simulation and Emulation: Faster than Real-Time Controls Testing.” Proceedings of the 2014 Winter Simulation Conference, edited by A. Tolk, et al. 4240 -4249. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
Cited by
Sorted by citations
Digital twin: origin to future
Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D. (2021) · Applied System Innovation · doi:10.3390/asi4020036 · Cited by 1,038
“This framework will have four parts: (i) Overview and general principles, (ii) Reference architecture, (iii) Digital representation of physical manufacturing elements, and (iv) Information exchange [103].”
BackgroundDigital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model
Aheleroff, S., Xu, X. W., Zhong, R. Y., & Lu, Y. (2020) · Advanced Engineering Informatics · doi:10.1016/j.aei.2020.101225 · Cited by 680
Digital Twin applications toward Industry 4.0: A Review
Javaid, M., Haleem, A., & Suman, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.003 · Cited by 466
Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare
Mohr, A. E., Ortega-Santos, C. P., Whisner, C. M., Klein-Seetharaman, J., & Jasbi, P. (2024) · Biomedicines · doi:10.3390/biomedicines12071496 · Cited by 311
A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
Xu, H., Wu, J., Pan, Q., Guan, X., & Guizani, M. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3297395 · Cited by 304
“Besides, Shao et al. carried out digital twin simulation research for industrial manufacturing from the perspective of simulation and system construction [36], [37], [38].”
Background
Metadata
- Authors
- Shao, G., & Helu, M.
- Affiliations
- National Institute of Standards and Technology (US)
- Corresponding author
- Shao, Guodong
- Venue
- Manufacturing Letters
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 24
- Pages
- 105-107
- ISSN
- 2213-8463 (ISSN-L)
- PMC
- PMC7431924
- OpenAlex
- W3015896415
- Cited by
- 292
- References
- 16
- Citations by year
- 2026: 29 · 2025: 45 · 2024: 60 · 2023: 66 · 2022: 54 · 2021: 32 · 2020: 6
- FWCI
- 25.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Manufacturing Letters (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Standards and Technology
- 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 › Manufacturing Process and Optimization
- Keywords
- digital twin, smart manufacturing, ISO 23247, small and medium-sized enterprises, digital twin implementation, composability
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