Digital twins can help us derive insights to control entities and processes in the digital world. Those insights can then be used to drive actions in the physical world. Simulation is one of the key enabling technologies that lie at the heart of digital twin development. This post uses the manufacturing process of a factory as an example. Then it discusses the role of simulation in the development of the factory digital twin.
Building digital twins requires a variety of analytics tools ranging from Internet of Things (IoT), statistical modeling, and visual analytics to computer vision, AI/ML, and optimization. However, at the heart of a factory digital twin lies a manufacturing process simulation driven by domain expertise and data. This simulation mimics the operations of the factory through which thousands of jobs might flow. It also generates key performance indicators (KPI), namely, annual throughout and manufacturing lead time.
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