The Overview of Digital Twins in Industry 4.0: Managing the Whole Ecosystem
Open accessAbstract
Industry 4.0 aims in renewing processes using available technologies such as robots and other AI techniques implemented in IoT, drones, digital twins and clouds. This metamorphose impacts the whole industry ecosystems including people, information processing and business models. In this context, the accumulated knowledge and know-how can be reused but has also to evolve. This paper focus on the role of digital twins in transforming industrial ecosystems and discuss also the environmental impact.
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Implementation of Digital Twins is often hindered by the lack of standardized tools, high initial costs, and cybersecurity vulnerabilities.
“However, as summarized in Table 4, implementation is often hindered by the lack of standardized tools, high initial costs, and cybersecurity vulnerabilities [43,44].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [43]
Integrating various models with different parameter values, spatial values, and time scales into the Digital Twin remains a challenge.
“Diversity of source systems Integrating various models with different parameter values, spatial values, and time scales into the Digital Twin remains a challenge [43].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [43]
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Sorted by citations
Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review
Ba, L., Tangour, F., El Abbassi, I., & Absi, R. (2025) · Sustainability · doi:10.3390/su17083560 · Cited by 96 · see citing works
Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions
Naderi, H., & Shojaei, A. (2022) · IEEE Access · doi:10.1109/access.2022.3223557 · Cited by 31 · see citing works
- Authors
- Monsone, C., Mercier-Laurent, E., & János, J.
- Affiliations
- Széchenyi István University (HU)
- Department of Computer Science, University of Reims, Champagne Ardenne and France, --- Select a Country ---
- Venue
- Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
- Published
- 2019
- Pages
- 271-276
- OpenAlex
- W2978460521
- Cited by
- 18
- References
- 0
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 4 · 2020: 1
- FWCI
- 3.27
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (publishedVersion, cc-by-nc-nd)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- digital twin, Industry 4.0, digital twin ecosystems, industrial digitalization
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