Towards the Development of a Digital Twin for Micro Learning Factory: A Proof of Concept
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43401-3_19
Reference25 articles.
1. Borangiu, T., Răileanu, S., Anton, F., Iacob, I., Anton, S.: A systems engineering-oriented learning factory for industry 4.0. In: Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. Proceedings of SOHOMA 2022, pp. 233–253. Cham, Springer International Publishing (2023). https://doi.org/10.1007/978-3-031-24291-5_19
2. Putnik, G.D., Alves, C., Varela, L., Pinheiro, P.: A contribution to the learning factory architecture implementations for engineering education. In: Managing and Implementing the Digital Transformation: Proceedings of the 1st International Symposium on Industrial Engineering and Automation ISIEA 2022, pp. 350–361. Cham: Springer International Publishing (2022). https://doi.org/10.1007/978-3-031-14317-5_30
3. Savchenko, I., Novotny, P., Fleck, H., Ropin, H.: Learning Factory Concept for Technical and Economic Education: An I4. 0 Solution with the Micro Factory. Festo Mps404. Available at SSRN 4073910 (2022)
4. Teizer, J., Chronopoulos, C.: Learning factory for construction to provide future engineering skills beyond technical education and training. In: Construction Research Congress 2022, pp. 224–233 (2022)
5. Behrendt, F., Lehner, O., Rettmann, A., Schmidtke, N., Wollert, T.: Process analysis of a teaching and learning factory environment to demonstrate Industry 4.0 solutions by using the smart logistics zone approach. In: 2022 IEEE 6th International Conference on Logistics Operations Management (GOL), pp. 1–10. IEEE (2022)
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