Self-Adaptive Manufacturing with Digital Twins, In: 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), pages 156-166, May, 2021, IEEE Computer Society. Wimmer: Digital Twin Platforms: Requirements, Capabilities, and Future Prospects. Selected publications below highlight how we leverage this notion of digital twins to facilitate their engineering and operations Selected Publications Some of which I have discussed in my talk Ceci n’est pas un jumeau numérique in the Engineering Digital Twins Community. may change the behavior of the original systemįrom this, interesting questions arise.does not need to be a model but may use models.does not need to be complete (which is impossible most of the time).is neither bound to specific technology or application domain.utopian, due to all-encompassing aspirations, such as an “integrated virtual model of a real-world system containing all of its physical information”, a “complete digital representation”.įor us, a digital twin is a software system that leverages models and data from and about an original (cyber-physical) system, to represent, predict, and prescribe its behavior for a specific purpose.narrow, by focusing on specific use cases, domains, or technologies, such as a “digital model of the real network environment” or a “virtual representation based on AR technology”.ambiguous, by deferring to another undefined term, such as a “virtual representation”, a “computable virtual abstraction”, or a “a virtual projection of the industrial facility into the cloud”.This also is reflected in many of the available definitions being Despite a plethora of definitions, there is little consensus about what a digital twin is. The various digital twins serve different purposes, including analysis, control, and behavior prediction, and they are used at different times relative to the represented system, e.g., before it exists to explore its design space or during its runtime to optimize its behavior. They promise a tremendous potential to reduce cost and time and improve our understanding of the represented systems. Research and industry leverage digital twins to monitor and control (cyber-physical) systems in various domains, including automotive, avionics, biology, construction, manufacturing, medicine, and many more.
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