• What are the digital twins and their types

• Characteristics of digital twin technology

• Applications of digital twins in different industries and sectors

• Implementation and deployment of the digital twin

• Future development of digital twins and cyber-physical systems

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.