Statistical models can help troubleshooting production bottlenecks, tracking scrap rates, meeting customer delivery dates. Time series sensor data are an excellent source that can serve for training machine learning models. Supervised and unsupervised machine learning algorithms can understand multiple production shifts' real-time data in seconds and identify previously hidden processes and workflow patterns. It is how prescriptive analytics plants are continually adapting to new circumstances.
