The UPTIME Platform enables manufacturing companies to fully exploit real-time and historical data.It takes assisted decision-making to the next level by presenting maintenance scenarios with the optimal maintenance actions to implement at the optimal time. The operators are then able to mitigate risks, minimize maintenance costs and improve OEE.
UPTIME provides next-generation predictive maintenance aiming to optimize in-service efficiency, to self-improve over time and adapt to dynamic manufacturing environments. It proposes a novel predictive maintenance management model along with an associated information system.
Unifying Operational Intelligence and Business Analytics for Next-generation Maintenance
UPTIME unifies operational intelligence and business analytics in the context of Industry 4.0 in order to provide visibility and insights into data and maintenance operations. This unification not only enables observing deviations in the manufacturing processes, but also predicting failures, deciding optimal maintenance plans and acting ahead of time, in a proactive way.
With UPTIME, manufacturing firms are able to harness different technologies, data sources (e.g. sensors, SCADA, PLC, asset management systems) and expert knowledge in order to drive maintenance operations through better decisions.
The UPTIME Platform has been designed according to Systems Engineering principles to address both generic and specific user needs & technical requirements. The platform architecture accommodates different specific needs as demonstrated by its six main modules.
On the basis of (near) real-time predictions about future failures that lay outside the “normal states space”, DECIDE is enacted online in order to generate proactive action recommendations, i.e. recommendations about optimal (perfect or imperfect) maintenance actions and the optimal times of proactive action implementation. To do this, it estimates when the Expected Maintenance Loss will be minimized.
UPTIME_VISUALIZE provides configurable visualization to save time analysing data and getting insights, to support decision making and develop new solutions.