Digital transformation involves the integration of modern computer technologies in industry (including Industry 4.0 and 5.0) and requires appropriate preparation of future staff, i.e. engineers specializing in industrial engineering, who will be leaders of future changes in enterprises.

While Industry 4.0 focuses on the automation and robotization of production processes, using big data, system integration with the Industrial Internet of Things, and cloud computing, as well as designing using computer simulations and AR/VR, Industry 5.0 also pays attention to the human factors and cooperation between people and machines, sustainable development, and resilience to disruptions.

This requires considering a large number of factors and is especially important when learning the design of advanced manufacturing systems, where various case studies are analyzed. Traditional approaches rely on static flowcharts, which hinder student understanding.

Therefore, during teaching, various computer systems and techniques are used to enable computer simulation and dynamic visualization of the analyzed case studies.

Professional programs such as FlexSim, Plant Simulation or Siemens Process Simulate are used, which enable modeling and simulation of production processes as well as virtual commissioning and immersive digital twins of existing production systems.

Some examples of case studies of production system simulation will be presented.

Modeling and simulation techniques are also used for scientific research on the optimization of real production systems because operating production processes are difficult to test on-site due to their time-consuming nature, and simulations can be significantly accelerated.

Digital twins of production systems are a promising direction for further research due to the possibility of taking into account variable human factors and integrating various subsystems within a virtual enterprise.