Digital Twin: Conclusion and Future Trends in Process Plants
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47316-6_10
Reference50 articles.
1. Stjepandić J, Sommer M, Denkena B (2022) DigiTwin: an approach for production process optimization in a built environment. Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-030-77539-1
2. Rupčić N, Majić T, Stjepandić J (2020) Emergence of business ecosystems by transformation of platforms through the process of organizational learning. J Ind Intg Manag 5(2):181–203. https://doi.org/10.1142/S2424862220500086
3. Jones D, Snider C, Nassehi A, Yon J, Hicks B (2020) Characterising the digital twin: a systematic literature review. CIRP J Manuf Sci Technol 29:36–52. https://doi.org/10.1016/j.cirpj.2020.02.002
4. van der Valk H, Haße H, Möller F, Arbter M, Henning JL, Otto B (2020) A taxonomy of digital twins. In: Anderson B, Thatcher J, Meservy R (eds) Proceedings 26th Americas conference on information systems, pp 1–10
5. Jiang Z, Guo Y, Wang Z (2021) Digital twin to improve the virtual-real integration of industrial IoT. J Ind Inf Integr 22:100196. https://doi.org/10.1016/j.jii.2020.100196
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