Prescriptive Maintenance (RxM)
Prescriptive maintenance goes a step beyond predictive: as well as forecasting a failure, it recommends what to do about it — the specific action, its timing and the trade-offs — using analytics and often AI to turn a prediction into a decision.
Where predictive maintenance answers 'this asset will likely fail and roughly when', prescriptive maintenance also answers 'so here are your options and the recommended one'. It combines condition data, failure models and operational context to suggest actions — adjust the load, schedule a repair now versus next outage, order a part — and the likely outcome of each. It is the most advanced rung of the maintenance ladder and depends on good predictive foundations first.
Related terms
Predictive Maintenance (PdM) · Remaining Useful Life (RUL) · Asset Performance Management (APM) · Machine Learning (Industrial)
Related guides
Software
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.
Siemens Senseye Predictive Maintenance
Scalable predictive maintenance that learns from existing condition data.