Challenges of Digital Twin System


  • Cristina Rosaria Monsone Széchenyi Istvén University, Doctoral School of Multidisciplinary Engineering Sciences, Egyetem tér 1, 9026 Győr, Hungary
  • János Jósvai Széchenyi István University, Department of Vehicle Manufacturing, Egyetem tér 1, 9026 Győr, Hungary



Digital Twin, CPPS, AI, Data, Industry 4.0, IoT, Cloud


Today’s manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products. The Industry 4.0 conceptualization has several potentials, i.e. flexibility in business and manufacturing processes, where the intelligent and interconnected systems, in particular the Cyber-Physical Production System (CPPS), play a vital role in the whole lifecycle of eco-designed products. In particular, the CPPS represents a suitable way for manufacturers that want to involve their customers, delivering instructions to machines about their specific orders and follow its progress along the production line, in an inversion of normal manufacturing. The development of Info Communication Technologies (ICT) and Manufacturing Science and Technology (MST) enables the innovation of Cyber-Physical Production Systems. However, there are still important challenges that need to be addressed in particular at technological and data analysis level with the
implementation of Deep Learning analysis.


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How to Cite

Monsone, C. R., & Jósvai, J. (2019). Challenges of Digital Twin System. Acta Technica Jaurinensis, 12(3), pp. 252–267.



Information Technology and Electrical Engineering