24% effectiveness increase of the overall production equipment through reduced failure rate & downtime cost
3 diverse, comprehensive industrial use cases to demonstrate the benefits of predictive maintenance
Improved workers security through dedicated safety strategy & early alarms
Z-BRE4K: a novel predictive maintenance platform to eliminate unexpected-breakdowns and extend the life of production systems.
Three Integrated Systems As a Cognitive Predictive Maintenance Framework
Networked Machine, Product and Shopfloor levels supported by the Cognitive Predictive Maintenance framework that allows the implementation of Reactive, Coordination and Cognitive Functions.
Reactive: fast reaction and close to machine operation.
Cogntive: rich condition state and useful life remaining prediction, collective intelligence development through collaborative analytics and the SPL integrated information framework.
Coordinated: dynamic maintenance plans and production control.
Gestamp The GESTAMP-Autotech demonstrator will be linked to the demonstration of a Lighthouse manufacturing process FRAMETOP for the multi stage zero defect manufacturing of next generation automotive chassis.
Philips As a complex demonstrator PHILIPS contributes a production line with cold forming tooling. On this tooling PHILIPS would like to move from preventive maintenance to predictive maintenance.
Sacmi-CDS The SACMI-CDS use case will be related to the packaging industry. SACMI is planning to introduce a predictive maintenance service for the end user involved (CDS) within Compression Moulding machines.