AVEVA’s hybrid MES solution provides ready-to-use cloud services, so companies can quickly start visualizing and analysing manufacturing execution data in hours.
Expanding its CONNECT, AVEVA has launched a new hybrid cloud MES solution at Hannover Messe. AVEVA’s new hybrid MES solution enables manufacturing companies to manage production data in the cloud, to improve supply chain agility with enterprise-wide visibility into distributed plant operations.
This enables companies to optimize their operational performance and sustainability with new insights and guidance provided by advanced analytics, artificial intelligence (AI) and data visualization. AVEVA enables enterprises to store, contextualize and enrich production execution data from all their plants in the cloud, unlocking new value using ML, AI and visualization that spans their value-chain and business ecosystem.
AVEVA’s hybrid MES solution combines advanced model-driven MES capabilities at the edge with cloud-based data, analytics and visualization services available on the CONNECT industrial intelligence platform. The ability to collect and securely store data from AVEVA MES and process data sources, unlocks new value from the combined data sets for optimal centerlining of production equipment, soft sensors and predictions that improve quality, throughput and energy use, as well as anomaly detection that gives early insight into production losses before they occur.
Rob McGreevy, Chief Product officer, AVEVA said, “Production events data management in the cloud is the next step in our vision for the connected industries of the future. It allows companies to create a living digital twin for the entire manufacturing value chain. By leveraging new insights from more complex data relationships, companies are empowered to reduce waste, conserve energy, and improve overall efficiency and sustainability. To rise to today’s challenges and remain competitive, manufacturers need to leverage the power of data to pursue agile supply chain operations, enabled by real-time visibility into a continuously optimized network of manufacturing plants.”
Operational data stored in the cloud can seamlessly link to AI and ML services and third-party visualisation, and analytics tools. With faster and easier access to data in a collaborative environment, operational teams and data scientists can unlock more insights from critical data and find new ways to advance operational excellence and sustainability.
