Analytics and simulation tools are driving improvements in discrete manufacturing production. Manufacturers are embracing the vision of the IIoT as an enabler to improve the predictability of machinery performance in operations and product design. Many manufacturers operate blindly and are slow to close the loop with the supply chain or engineering organizations. Progressive manufacturers seek to identify the cause of poor production performance. Manual data collection is often the first approach used to collect manufacturing metrics. However, productivity improvements require real-time monitoring at the edge of production. This session will focus on edge to cloud integration with an emphasis on integration throughout the extended value chain.
Machine Learning Benefits in Production Operations