Cited By
View all- Rayhana RBai LXiao GLiao MLiu Z(2024)Digital Twin Models: Functions, Challenges, and Industry ApplicationsIEEE Journal of Radio Frequency Identification10.1109/JRFID.2024.33879968(282-321)Online publication date: 2024
Digital Twins and Dependency/Constraint-Aware AI for Digital Manufacturing
Abstract
No abstract available.
References
[1]
Bamunuarachchi, D., Georgakopoulos, D., Banerjee, A. and Jayaraman, P.P. Digital twins supporting efficient digital industrial transformation. Sensors 21, 20 (Oct. 2021), 6829, MDPI.
[2]
Bamunuarachchi, D., Georgakopoulos, D., Jayaraman, P.P., A Banerjee, A. A framework for enabling cyber-twins-based industry 4.0 application development. In Proceedings of the 2020 IEEE Intern. Conf. on Services Computing (Sept. 2021).
[3]
Banerjee, A., Forkan, A.R.M., Georgakopoulos, D., Karabotic Milovac, J., and Jayaraman, P.P. An IIoT machine model for achieving consistency in product quality in manufacturing plants, (Sept. 2021), arXiv:2109.12964.
[4]
Piroumian, V. Making digital twins work. IEEE Computer 56 (Jan. 2023), 42--51.
Index Terms
- Digital Twins and Dependency/Constraint-Aware AI for Digital Manufacturing
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Publication History
Published: 22 June 2023
Published in CACM Volume 66, Issue 7
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View all- Rayhana RBai LXiao GLiao MLiu Z(2024)Digital Twin Models: Functions, Challenges, and Industry ApplicationsIEEE Journal of Radio Frequency Identification10.1109/JRFID.2024.33879968(282-321)Online publication date: 2024
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