Case Study: EDAG Group achieves reduced machine downtime and improved OEE with Dell Technologies

AI and Predictive Analytics dramatically improve maintenance intervals at EDAG

EDAG Group, a global engineering services provider for the automotive industry, was tasked with implementing predictive maintenance for a major automotive customer to prevent costly machine downtime and improve maintenance planning. The project required bespoke AI software and high-performance hardware; EDAG worked with Dell Technologies, using a Dell infrastructure package including Dell EMC PowerEdge (XR2), Precision 3930 Rack Workstation, OptiPlex XE3, Latitude notebooks, Embedded Box PCs and Edge Gateways to collect, store and process large volumes of machine and environmental data.

Using Dell Technologies’ infrastructure, EDAG deployed an AI-based predictive maintenance solution integrated with MES, ERP and logistics systems to analyze real-time data and flag anomalies. The pilot reduced unplanned machine outages, optimized spare-parts management and cut service deployments, delivering a 2% increase in Overall Equipment Effectiveness (OEE); the solution is now being rolled out to other plants worldwide.

EDAG Group

Mark Kramer

Head of Production IT (Smart Factory Solutions)