Open Access
Issue |
MATEC Web Conf.
Volume 401, 2024
21st International Conference on Manufacturing Research (ICMR2024)
|
|
---|---|---|
Article Number | 08001 | |
Number of page(s) | 8 | |
Section | Sensors, Control, Robotics and Automation | |
DOI | https://doi.org/10.1051/matecconf/202440108001 | |
Published online | 27 August 2024 |
- McKinsey, Digital twins: From one twin to the enterprise metaverse. Accessed: Apr. 2, 2024. [Online]. Available: https://www.mckinsey.com/capabilities/mckinsey- digital/our-insights/digital-twins-from-one-twin-to-the-enterprise-metaverse (2024) [Google Scholar]
- R. Ghanbarifard, A. H. Almeida, and A. Azevedo, Digital Twin in complex operations environments: potential applications and research challenges, in 2023 3rd Asia Conference on Information Engineering (ACIE), IEEE, Jan. 2023, pp. 81–91 (2023) [Google Scholar]
- S. Baidya, S. K. Das, M. H. Uddin, C. Kosek, and C. Summers, Digital Twin in Safety- Critical Robotics Applications: Opportunities and Challenges, in 2022 IEEE International Performance, Computing, and Communications Conference (IPCCC), IEEE, Nov. 2022, pp. 101–107 (2022) [Google Scholar]
- A. K. Ramasubramanian, R. Mathew, M. Kelly, V. Hargaden, and N. Papakostas, Appl. Sci, 12 (10), p. 4811, (2022) [CrossRef] [Google Scholar]
- H. Park, A. Easwaran, and S. Andalam, Challenges in Digital Twin Development for Cyber-Physical Production Systems, in Cyber Physical Systems. Model-Based Design, CyPhy WESE 2018, pp. 28–48 (2019) [Google Scholar]
- I. A. Arin, Meyliana, H. L. H. S. Warnars, and D. F. Murad, A Systematic Literature Review of Recent Trends and Challenges in Digital Twin Implementation, in 2023 10th International Conference on ICT for Smart Society (ICISS), IEEE, Sep. 2023, pp. 1–10 (2023) [Google Scholar]
- T. Y. Melesse, V. Di Pasquale, and S. Riemma, Procedia Manuf, 42, pp. 267–272, (2020) [CrossRef] [Google Scholar]
- A. Fuller, Z. Fan, C. Day, and C. Barlow, IEEE Access, 8, pp. 108952–108971, (2020) [CrossRef] [Google Scholar]
- M. Perno, L. Hvam, and A. Haug, Enablers and Barriers to the Implementation of Digital Twins in the Process Industry: A Systematic Literature Review, in 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), IEEE, Dec. 2020, pp. 959–964 (2020) [Google Scholar]
- A. D. Khandare, V. S. Jadhav, S. P. Deshmukh, and K. K. Rane, ECS Trans, 107 (1), pp. 15497–15508, (2022) [CrossRef] [Google Scholar]
- M. E. Helal, H. S. Zied, A. K. Mahmoud, M. Helal, A. E. Takieldeen, and S. M. Abd- Alhalem, Digital Twins Approaches and Methods Review, in 2023 International Telecommunications Conference (ITC-Egypt), IEEE, Jul. 2023, pp. 330–336 (2023) [Google Scholar]
- M. Delamare, F. Duval, and Remi Boutteau, Sensors, 20 (16), pp. 4511–4511, (2020) [CrossRef] [Google Scholar]
- Y. Liu, Z. Li, H. Xiong, X. Gao, and J. Wu, Understanding of internal clustering validation measures, in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 911–916 (2010) [Google Scholar]
- Aslan, A et al. Sensors, 23 (10), 4928 (2023) [CrossRef] [Google Scholar]
- L. McAtamney and E. Nigel Corlett, Appl Ergon, 24 (2), pp. 91–99 (1993) [CrossRef] [Google Scholar]
- AiQ Synertial, Leading Motion Capture Technologies, Accessed: Apr. 2, 2024. [Online]. Available: https://www.synertial.com/ (2024) [Google Scholar]
- H. van der Valk, J. Hunker, M. Rabe, and B. Otto, Digital Twins in Simulative Applications: A Taxonomy, in 2020 Winter Simulation Conference (WSC), Orlando, FL, USA, 2020, pp. 2695-2706 (2020) [Google Scholar]
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