How Advanced Simulation Drives Digital Twin Implementation

Digital twins are increasingly being used as a tool to help inform wider business decisions as well as fundamentally changing business models. And, when implemented in an IIoT (Industrial Internet of Things) environment across a digital thread, digital twins can share data between different systems, providing a clearer and more precise picture of performance on a larger scale, such as entire factories and supply chains. Where simulation can provide the means to understand what may happen in the real world, a digital twin allows engineers and operations technicians to compare what may happen concurrent with what is happening in real time. The digital transformation of production processes or assets in the field can enhance product design, optimize asset performance, and provide insights into building the next generation of systems and factories. However, this is very much dependent on the quality of the data, and the level of intelligence in smart edge devices and sensors. 

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