Introduction to Digital Twin

Area of Interest: Capability systems

Course Summary

A digital twin is a term used to describe a digital replica of a product in use. This idea is made possible by growing sensor ubiquity, product connectivity, computational power, and data storage. It is feasible to use analysis and simulations of various scenarios for maintenance and to support the creation of the next generation of products by having a duplicate of each individual product in use and being able to monitor the health of each product and component in real-time.

This course aims to provide participants with knowledge and understanding of the Digital Twin concept, as well as an introduction to the tools and methods used to create a Digital Twin. The course includes a mix of theory, methods, and tools for Digital Twins, which are applied in the case of implementing and operating a digital replica of a product.

For this introductory course, basic knowledge of modelling and simulation is assumed.

Duration: 2 Days

Delivery Mode: On-campus and remote - you choose how you would like to attend.

Course Content

• Introducing Industry 4.0
• Introducing Digital Twins Concepts
• Advantages of Deploying Digital Twins in Various Use Scenarios/Applications
• The Three Stages of the Digital Twins
• Future Trends for Digital Twin Technology and Its Impact on Organizational Stakeholders

Who should attend

This introductory course is for anyone interested in the digital transformation of organizations in the industrial sector or Industry Professionals seeking to gain a baseline understanding of Digital twin technology and its features and advantages. The content in this course can be considered an introduction to the Digital Twin technology with a range of examples of applications in the industry sectors.

What will you receive

• UNSW Canberra certificate of completion/attendance
• Masters credit: UNSW Canberra allows students who have successfully completed a minimum of 12 days of approved professional education courses to use those courses as credit in eligible postgraduate programs

Prerequisite: There is no prerequisite for this course

Instructors

Dr Ismail Ali is a Research Associate at the Capability Systems Centre, University of New South Wales, Canberra. He is interested in the development of simulation-based optimization techniques and their application on complex decision-making problems arising in different domains including service and maintenance logistics, defence (fleet management and resource planning).