Artificial intelligence is increasingly commonplace in manufacturing, with one subset in particular gaining a strong foothold: machine learning. As manufacturers look for more innovative ways to increase stability, resiliency, responsiveness and, as always, efficiency and profit margins, machine learning and manufacturing are proving to be a natural fit. This combined with digital twins was a technological breakthrough. Digital twins in manufacturing refer to virtual replicas of equipment, components or designs, which can be rendered in real-time 3D and “handled” in a way that mimics interaction with the part itself. Digital twins help with maintenance, training, collaboration, product design and more. By introducing machine learning technology into digital twin use cases, manufacturers can see additional benefits in production efficiency, time-to-market and innovation.
With machine learning, digital twin technology can enable design optimization, faster product development, improved product quality, more accurate design and prototyping, and more. Machine learning in this context can also be used to develop the most efficient production methods possible, further reducing costs and reducing time to market.
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