Framework for Simulation Applications Based on the Digital Twin Concept and SCOR Methodology-Reference-Cited by-同舟云学术

Framework for Simulation Applications Based on the Digital Twin Concept and SCOR Methodology

Published:2023-08-25 Issue: Volume: Page:721-728
ISSN:2195-4356
Container-title:Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
language:
Short-container-title:

Author:

Trautwein Neto Breno^ORCID,Alcântara Castilho Venâncio André Luiz^ORCID,Rocha Loures Eduardo de Freitas^ORCID,Deschamps Fernando^ORCID,Rocha Loures Léonard^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-38165-2_84

Reference18 articles.

1. Panetto, H., Iung, B., Ivanov, D., Weichhart, G., Wang, X.: Challenges for the cyber-physical manufacturing enterprises of the future. Ann. Rev. Control, 47, 200–213, Jan. 01. Elsevier Ltd (2019). https://doi.org/10.1016/j.arcontrol.2019.02.002

2. Stoop, F., Ely, G., Menna, R., Charache, G., Gittler, T., Wegener, K.: Smart factory equipment integration through standardised OPC UA communication with companion specifications and equipment specific information models (2019)

3. Zwolińska, B., Tubis, A.A., Chamier-Gliszczyński, N., Kostrzewski, M.: Personalization of the MES system to the needs of highly variable production. Sensors (Switzerland) 20(22), 1–25 (2020). https://doi.org/10.3390/s20226484

4. Urbina Coronado, P.D., Lynn, R., Louhichi, W., Parto, M., Wescoat, E., Kurfess, T.: Part data integration in the shop floor digital twin: mobile and cloud technologies to enable a manufacturing execution system. J. Manuf. Syst. 48, 25–33 (2018). https://doi.org/10.1016/j.jmsy.2018.02.002

5. Rojko: Industry 4.0 concept: background and overview. Int. J. Interact. Mobile Technol. 11(5), 77–90 (2017). https://doi.org/10.3991/ijim.v11i5.7072