A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
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Increasing cooperation amongst stakeholders, management authorities, expert teams, and ground workers to actively monitor a facility's output and provide feedback when needed is another important function of DT.
“Increasing cooperation amongst stakeholders, management authorities, expert teams, and ground workers to actively monitor a facility's output and provide feedback when needed is another important function of DT [97].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [97]
Lack of standards, frameworks and regulations for digital twin implementations is a challenge.
“Lack of standards, frameworks and regulations for DT implementations [15].”
From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [15]
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Survey on digital twins for Internet of Vehicles: Fundamentals, challenges, and opportunities
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Self-citationDigital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0
Mon, B. F., Hayajneh, M., Ali, N. A., Ullah, F., Ullah, H., & Alkobaisi, S. (2025) · Computers, Materials & Continua · doi:10.32604/cmc.2025.061411 · Cited by 26 · see citing works
“Increasing cooperation amongst stakeholders, management authorities, expert teams, and ground workers to actively monitor a facility’s output and provide feedback when needed is another important function of DT [97].”
- Authors
- Lim, K. Y. H., Zheng, P., & Chen, C.-H.
- Affiliations
- Nanyang Technological University (SG)
- Hong Kong Polytechnic University (HK)
- Corresponding author
- Zheng, Pai
- Venue
- Journal of Intelligent Manufacturing
- Published
- 2019-11-18
- Volume
- 31
- Issue
- 6
- Pages
- 1313-1337
- ISSN
- 0956-5515 (ISSN-L)
- 1572-8145
- OpenAlex
- W2989925413
- Cited by
- 700
- References
- 144
- Citations by year
- 2026: 70 · 2025: 84 · 2024: 145 · 2023: 133 · 2022: 133 · 2021: 106 · 2020: 29
- FWCI
- 49.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Intelligent Manufacturing (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- Funders
- National Research Foundation Singapore (RCA-16/434)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- digital twin, product lifecycle management, business innovation, Industry 4.0, cyber-physical systems, big data analytics, digital twin simulation, virtual reality integration, edge-cloud computing
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