Predictive maintenance : no more machines failures

Spare parts lifespan can be prolonged and the stocks quantity reduced through a failure prediction that cuts operating costs. It relies on the deviations modelling of key physical behaviours in the Studio.

The machine can detect these alone in real-time. The suitable action is then suggested to the workforce on the defective spare part. Operators on the shop floor are notified through the Share early enough to avoid production stoppages.

Create powerful predictive analytics
and increase the mean time to failure of machines

inuse_share
;

Complex deviation detection

;

Notifications directly to shop floor for action

;

Proactive maintenance operations accomplished

Key Figures

+800

filling valves connected

4%

increase of overall production efficiency

30%

reduction of spare parts purchases