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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 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.
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).
Courses will be held subject to sufficient registrations. UNSW Canberra reserves the right to cancel a course up to five working days prior to commencement of the course. If a course is cancelled, you will have the opportunity to transfer your registration or be issued a full refund. If registrant cancels within 10 days of course commencement, a 50% registration fee will apply. UNSW Canberra is a registered ACT provider under ESOS Act 2000-CRICOS provider Code 00098G.