Abstract
Digitalization is a worldwide trend spreading across several industrial sectors, such as production, logistics or planning. Due to the increasing complexity of industrial settings and manufacturing systems, emerging technologies allowing digitalization are crucial for the development and affirmation of the digital transformation to its fullest. This is indeed made possible by the use of various digital tools, available to industries as well as to the scientific community. Digital transformation driven by digital technologies, such as virtual/augmented reality, 3D simulation, cloud computing and Digital Twins, has been of great interest for practitioners from industries and for research institutions. The introduction of radical changes in industry creates the need to also train future engineers who are going to enforce the digital transformation process. The proposed study aims to contribute to the demonstration of the efficacy and potential of the implementation of a Digital Twin based on real-time data collection and 3D simulation with an intelligent mechatronic transfer system as practical use case. The result of this work is the creation of a demonstrator about 3D simulation in Digital Twin-based applications in manufacturing; purpose of it is that students and practitioners from industry can self-replicate during lab experiences and trainings in a learning factory environment.