Module 1: What is a Digital Twin?
Introduction to technologies, applications, opportunities, and challenges influencing digital twin
Module 2: Manufacturing and Production
Introduction to the impact of the digital twin, cyber-physical systems, process automation and optimization, predictive maintenance and anomaly detection on the manufacturing ecosystem and its application
Module 3: Supply Chain and Warehousing
Introduction to digital twin-based operation and management, and simulation-based smart supply chain ecosystem, including quality assurance in the food and beverage sector, warehousing with machine learning and path planning, and warehousing with machine learning and pallet loading
Module 4: Healthcare
Introduction to healthcare and bioengineering applications of digital twins. The bioprocess and its potential, industrial-scale bioreactors and biomanufacturing, hospital administration in industry 4.0, epidermic control prediction, and cloud computing for radiotherapy systems are covered.
Module 5: Conclusions
Discussion on the fundamental characteristics and applications of digital twins, the future of digital twins and forecast for industrial 5.0.