Measures the effectiveness of predictive maintenance in identifying potential failures.

What it Measures ?

How often we correctly predict maintenance needs.

Relevant StakeHolders 

Maintenance Teams, Reliability Engineers

In-depth Use Case / Real-world Example

Predictive Maintenance Accuracy tracks how often predictive maintenance tools correctly forecast equipment failures before they happen. For example, if 9 out of 10 predicted failures occur, the accuracy rate is 90%. This KPI is important for reducing downtime and optimizing maintenance costs. In manufacturing, predictive maintenance helps avoid unplanned downtime by addressing issues before they cause production stoppages.