1. Proceedings
  2. I3M
  3. 2018
  4. MAS
  5. 10.46354/i3m.2018.mas.027

The role of digital twin in a cyber-physical production environment with prescriptive learning

  • a János Jósvai , 
  • b András Pfeiffer ,
  • c Norbert Szántó ,
  • d Gergő Monek 
  • a,c,d Széchenyi István University, Department of Automobile Production Technology, Győr (Hungary)
  • c Institute of Computer Science and Control, Hungarian Academy of Sciences, Budapest (Hungary)
Cite as
Jósvai J., Pfeiffer A., Szántó N., Monek G. (2018). The role of digital twin in a cyber-physical production environment with
prescriptive learning. Proceedings of the 17th International Conference on Modeling & Applied Simulation (MAS 2018), pp. 180-184. DOI: https://doi.org/10.46354/i3m.2018.mas.027

Abstract

In this paper, we introduce the establishing of digital twins for cyber-physical production systems. Using industrial PLC network and a discrete event simulation tool a live and interactive connection is made between the physical and cyber world. Based on this achievement a modified proactive framework with prescriptive simulation will be presented.

References

  1. Deloitte. 2017. ‘Industry 4.0 and the Digital Twin’. Deloitte University Press.
  2. Dr. Pfeiffer, András. 2017. ‘Improving the Accuracy of Cycle Time Estimation for Simulation in Volatile Manufacturing Execution Environments’. ASIM 2017.
  3. Enke, Judith, Rupert Glass, Antonio Kreß, Jens Hambach, Michael Tisch, and Joachim Metternich. 2018. ‘Industrie 4.0 – Competencies for a Modern Production System’. Procedia Manufacturing 23:  267–72. https://doi.org/10.1016/j.promfg.2018.04.028.
  4. Mahnke, Wolfgang, Stefan-Helmut Leitner, and Matthias Damm. 2009. OPC Unified Architecture. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-68899-0.
  5. Monostori, L., B. Kádár, T. Bauernhansl, S. Kondoh, S. Kumara, G. Reinhart, O. Sauer, G. Schuh, W. Sihn, and K. Ueda. 2016. ‘Cyber-Physical Systems in Manufacturing’. CIRP Annals 65 (2): 621–41. https://doi.org/10.1016/j.cirp.2016.06.005.
  6. Negri, Elisa, Luca Fumagalli, and Marco Macchi. 2017. ‘A Review of the Roles of Digital Twin in CPSBased Production Systems’. Procedia Manufacturing 11: 939–48. https://doi.org/10.1016/j.promfg.2017.07.198.
  7. Ochs, Th., and U. Riemann. 2018. ‘Smart Manufacturing in the Internet of Things Era’. In Internet of Things and Big Data Analytics Toward Next-Generation Intelligence, edited by Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, and Suresh Chandra Satapathy, 30:199–217. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60435-0_8.
  8. Post, Jan, Manso Groen, and Gerrit Klaseboer. 2017. ‘PHYSICAL MODEL BASED DIGITAL TWINS IN MANUFACTURING PROCESSES’. Forming Technology Forum 2017. https://www.researchgate.net/publication/320445237.
  9. Schleich, Benjamin, Nabil Anwer, Luc Mathieu, and Sandro Wartzack. 2017. ‘Shaping the Digital Twin for Design and Production Engineering’. CIRP Annals 66 (1): 141–44. https://doi.org/10.1016/j.cirp.2017.04.040.
  10. Stark, Rainer, Simon Kind, and Sebastian Neumeyer. 2017. ‘Innovations in Digital Modelling for next Generation Manufacturing System Design’. CIRP Annals 66 (1): 169–72. https://doi.org/10.1016/j.cirp.2017.04.045.
  11. Uhlemann, Thomas H.-J., Christoph Schock, Christian Lehmann, Stefan Freiberger, and Rolf Steinhilper. 2017. ‘The Digital Twin: Demonstrating the Potential of Real Time Data Acquisition in Production Systems’. Procedia Manufacturing 9: 113–20. https://doi.org/10.1016/j.promfg.2017.04.043.
  12. Ustundag, Alp, and Emre Cevikcan. 2018. Industry 4.0: Managing The Digital Transformation. Springer Series in Advanced Manufacturing. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-57870-5.
  13. Vogel-Heuser, Birgit, Thomas Bauernhansl, and Michael Ten Hompel, eds. 2017. Handbuch Industrie 4.0. Bd. 4: Allgemeine Grundlagen. 2. Auflage. Springer Reference Technik. Berlin: Springer Vieweg.
  14. Vogel-Heuser, Birgit, Thomas Bauernhansl, and Michael Ten Hompel, eds. 2017. Handbuch Industrie 4.0. Bd. 4: Allgemeine Grundlagen. 2. Auflage. Springer Reference Technik. Berlin: Springer Vieweg.