Manufacturing Learnings Taken from Formula One’s Industrial Optimization Model
For Formula One, IoT data must be analyzed in real-time to understand how their processes are performing and to detect any anomalies.
But this is easier than it sounds.
For example, production can generate 5,000 data samples every 33 milliseconds, and a faulty data architecture can lead to increased cost, rework, and unhappy customers, as well as hefty fines and business closure.
View this infographic to examine strategies you can use to tackle data analysis and optimization in manufacturing.