Mastering the Future of Production: A Training Concept for Digital Twins
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65411-4_15
Reference23 articles.
1. Pires, F., Cachada, A., Barbosa, J., Moreira, A.P., Leitao, P.: Digital twin in industry 4.0: technologies, applications and challenges. In: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), pp. 721–726. IEEE (2019). https://doi.org/10.1109/INDIN41052.2019.8972134
2. Agostino, Í.R.S., Broda, E., Frazzon, E.M., Freitag, M.: Using a digital twin for production planning and control in industry 4.0. In: Sokolov, B., Ivanov, D., Dolgui, A. (eds.) Scheduling in Industry 4.0 and Cloud Manufacturing. ISOR, vol. 289, pp. 39–60. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-43177-8_3
3. Vachalek, J., Bartalsky, L., Rovny, O., Sismisova, D., Morhac, M., Loksik, M.: The digital twin of an industrial production line within the industry 4.0 concept. In: 2017 21st International Conference on Process Control (PC), pp. 258–262. IEEE (2017). https://doi.org/10.1109/PC.2017.7976223
4. Martin, M., Peukert, S., Lanza, G.: A new approach to consider influencing factors in the design of global production networks. In: Liewald, M., Verl, A., Bauernhansl, T., Möhring, H.-C. (eds.) Production at the Leading Edge of Technology, 1st ed. WGP 2022. LNPE, pp. 623–632. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-18318-8_62
5. Uhlemann, T.H.-J., Schock, C., Lehmann, C., Freiberger, S., Steinhilper, R.: The digital twin: demonstrating the potential of real time data acquisition in production systems. Procedia Manufac. 9, 113–120 (2017). https://doi.org/10.1016/j.promfg.2017.04.043
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