Measure What Matters
You can’t improve what you don’t measure. But with dozens of possible maintenance metrics, which ones actually drive value? Here are the 10 KPIs that every plant should track – and how AI can automate the measurement.
The Essential 10 KPIs
- Overall Equipment Effectiveness (OEE): The gold standard combining availability, performance, and quality.
- Mean Time Between Failures (MTBF): How long equipment runs before breaking down.
- Mean Time to Repair (MTTR): How quickly you restore equipment to operation.
- Planned Maintenance Percentage (PMP): Ratio of planned vs. unplanned work orders.
- Schedule Compliance: Percentage of planned work completed on schedule.
- Maintenance Cost as % of RAV: Spending relative to Replacement Asset Value.
- Backlog in Days: Work waiting to be done expressed in days of labor.
- First-Time Fix Rate: Percentage of issues resolved on first attempt.
- Spare Parts Inventory Turns: How efficiently you’re using inventory investment.
- Safety Incidents Related to Maintenance: The most important metric of all.
AI-Powered Measurement
Traditionally, calculating these KPIs requires pulling data from multiple systems and spending hours in spreadsheets. AI platforms like Aimyze calculate these automatically, in real-time, with drill-down capabilities to understand what’s driving the numbers.
Ready to transform your maintenance operations? Visit aimyze.com
