When a physical system has its own replica and both can communicate easily on real time, shares the data and improves decision making, productivity etc., is called Digital Twins.
Digital Twin was introduced over a decade ago, as an innovative all-encompassing tool, with perceived benefits including real-time monitoring, simulation, optimization and accurate forecasting. However, the theoretical framework and practical implementations of Digital Twins (DT) are yet to fully achieve this vision at scale. Although an increasing number of successful implementations exist in research and industrial works, sufficient implementation details are not publicly available, making it difficult to fully assess their components and effectiveness, to draw comparisons, identify successful solutions, share lessons, and thus to jointly advance and benefit from the DT methodology.
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