Increase quality, improve operational efficiency, and increase uptime through intelligent manufacturing
The digital transformation of the $10-trillion manufacturing industry has started and it is only going to increase in the coming years. As a result, every component of the value-chain generates an increasing amount of data, which advanced analytics can quickly turn into actionable insights that are instantly communicated across the relevant parts of the system.
Using edge intelligence, factories can predict in real-time when unexpected failures will occur or if part of a machine might malfunction prior to either of these events actually happening. It can also help improve product quality by analyzing sensor data in real-time to identify any values that fall outside of previously defined thresholds, identify root problem causes and, if desired, automatically stop the production of defective parts.
Edge intelligence can transform real-time machine data into actionable insight related to production efficiency and quality metrics that can be used by plant managers to reduce unplanned downtime, maximize yield, and increase machine utilization.