Smart manufacturing
The term Industry 4.0 is used to describe CPSes that enable smart factories through automation and data exchange. Sensor data is fused and processed by data analytic systems, and machine learning algorithms are trained on smart manufacturing use cases such as remote monitoring and control, smart energy consumption, predictive maintenance, and human-robotic collaboration. These capabilities provide business value through the minimization of downtime or the optimization of processes and reduction of costs. For example, a Jeep Wrangler production facility in Toledo, Ohio, introduced connectivity for over 60,000 IoT endpoints and 259 robots on the assembly line (source: https://customers.microsoft.com/en-us/story/the-internet-of-things-transforms-a-jeep-factory ...