What role do digital twins play in system optimization?

Digital twins serve as virtual replicas of physical systems, processes, or objects, allowing organizations to simulate, analyze, and optimize their performance. By using real-time data, digital twins provide valuable insights into how a system is functioning, identifying inefficiencies or areas for improvement. This capability enables organizations to make data-driven decisions aimed at enhancing performance, reducing costs, and improving sustainability.

In practice, digital twins can be used to monitor system behavior, predict future performance, and run simulations to test different scenarios. These insights help in fine-tuning operations and can inform design modifications, maintenance schedules, and resource allocation to achieve optimal performance. Their ability to provide a comprehensive view of a system's dynamics makes them a powerful tool in system optimization strategies.