A six-layer architecture for the digital twin: a manufacturing case study implementation

Author:

Redelinghuys A. J. H.,Basson A. H.,Kruger K.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Reference48 articles.

1. Bagheri, B. & Lee, J. (2015). Big future for cyber-physical manufacturing systems. [Online]. Available: http://www.designworldonline.com/big-future-for-cyber-physical-manufacturing-systems/. Retrieved July 05, 2017.

2. Baheti, R., & Gill, H. (2011). Cyber-physical systems. The Impact of Control Technology,12(1), 161–166.

3. Baur, C. & Wee, D. (2015). Manufacturing’s next act. [Online]. Available: http://www.mckinsey.com/business-functions/operations/our-insights/manufacturings-next-act. Retrieved July 05, 2017.

4. Borangiu, T., Oltean, E., Răileanu, S., Anton, F., Anton, S. & Iacob, I. (2020). Embedded digital twin for ARTI-type control of semi-continuous production processes. In Service oriented, holonic and multi-agent manufacturing systems for industry of the future. SOHOMA 2019. studies in computational intelligence (vol. 853, pp. 113–133). Springer, Cham.

5. Bottani, E., Cammardella, A., Murino, T. & Vespoli, S. (2017). From the cyber-physical system to the digital twin: The process development for behaviour modelling of a cyber guided vehicle in M2M logic. In Proceedings of the summer school Francesco Turco (pp. 96–102).

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