Machines are the backbone of manufacturing. When a machine stops, production stops with it. Delivery plans get disturbed, operators wait, overtime increases and customer commitments become harder to meet.
That is why maintenance teams need more than breakdown records. They need clear maintenance KPIs that show how well machines, technicians, schedules and spare parts are being managed.
Maintenance KPIs help teams identify risks early, reduce repeated failures and move from reactive firefighting to planned reliability. For growing manufacturers, these numbers also help production, planning and maintenance teams work with the same facts.
Below are the top 10 maintenance KPIs every manufacturing team should track.
1. Mean Time Between Failures, MTBF
Mean Time Between Failures measures the average running time between two failures of the same machine or asset.
A higher MTBF usually means the machine is becoming more reliable. It also shows that preventive maintenance, operator checks and machine handling practices are working better.
For example, if a press machine earlier failed every 500 operating hours and now runs for 700 hours between failures, the maintenance strategy is improving.
MTBF is useful for identifying machines that fail repeatedly and need deeper root cause analysis.
2. Mean Time to Repair, MTTR
Mean Time to Repair measures how long it takes to bring a machine back into working condition after a breakdown.
Lower MTTR means the team can respond faster, diagnose issues better and reduce production loss.
MTTR depends on technician availability, spare parts readiness, fault diagnosis, documentation and approval flow. If teams track only downtime but not repair time, they may miss the real reason machines stay unavailable for too long.
This KPI helps manufacturers improve response time and reduce the impact of breakdowns on production schedules.
3. Overall Equipment Effectiveness, OEE
OEE combines three areas: availability, performance and quality. It shows how effectively a machine is being used compared to its full potential.
A machine may be available but running slowly. Another machine may run at speed but produce more rejection. OEE brings these losses into one view.
Maintenance teams use OEE to identify machines where downtime, minor stoppages or quality-related losses are affecting output.
For a deeper explanation, read this guide on how OEE in manufacturing increases revenue and profitability.
4. Planned Maintenance Percentage, PMP
Planned Maintenance Percentage shows how much maintenance work is planned compared to total maintenance work.
If most work is unplanned, the team is spending too much time reacting to breakdowns. If planned maintenance increases, the plant usually gets better control over machine availability.
This KPI includes preventive maintenance, scheduled inspections, lubrication, calibration support, planned part replacement and condition-based checks.
PMP shows whether the maintenance team is becoming proactive or still operating in firefighting mode.
5. Preventive Maintenance Compliance
Preventive Maintenance Compliance measures how many scheduled PM tasks are completed on time.
This is one of the most practical maintenance KPIs for factories. A preventive maintenance plan is useful only when teams actually follow it.
Missed PM checks can lead to hidden wear, lubrication issues, electrical faults, loose parts, overheating or safety risks. Over time, these small misses become bigger breakdowns.
For more detail, this guide on preventive maintenance in manufacturing explains how manufacturers can structure PM activities better.
6. Maintenance Backlog
Maintenance backlog shows pending maintenance work that still needs to be completed.
Some backlog is normal. However, if pending work keeps increasing, it may show that the maintenance team is overloaded, spare parts are not available, approvals are delayed or machine access is difficult because production is always running.
Backlog should be reviewed by machine criticality. A pending task on a non-critical asset may not create immediate risk. But backlog on a bottleneck machine can directly affect production planning.
This KPI helps teams balance urgent breakdowns with important planned work.
7. Planned and Unplanned Downtime
Downtime measures the time a machine is unavailable for production.
Planned downtime includes scheduled maintenance, changeovers or planned shutdowns. Unplanned downtime includes breakdowns, sudden failures, electrical issues, tool failures or unexpected stoppages.
The goal is not to remove all downtime. The goal is to reduce unplanned downtime and use planned downtime more effectively.
This guide on types of maintenance and downtime in manufacturing explains the difference between downtime types and why they should be tracked separately.
8. Maintenance Cost as a Percentage of Asset Value
This KPI compares annual maintenance cost with the replacement value of the asset.
If maintenance cost is too high, the machine may be aging, poorly maintained or used beyond its practical condition. If maintenance spending is too low, it may increase the risk of sudden breakdowns later.
This KPI should not be viewed alone. It works best when compared with MTBF, downtime, spare usage and machine criticality.
It helps management understand whether maintenance cost is justified by machine performance and reliability.
9. Spare Parts Turnover Rate
Spare Parts Turnover Rate shows how quickly maintenance spares are consumed and replenished.
Slow-moving spares block working capital. Fast-moving spares can create stockout risk if reorder planning is weak.
For example, if a critical bearing or sensor is regularly consumed but not planned properly, one small spare can stop a high-value machine.
For more inventory-related metrics, read this article on top inventory KPIs every manufacturer should track.
10. Safety Compliance Rate
Safety Compliance Rate tracks whether safety-related checks are completed on time.
This may include emergency stops, guards, alarms, interlocks, pressure systems, electrical panels, lifting equipment, fire safety checks and operator safety points.
Safety checks should not depend on memory or paper logs alone. Missed checks can create audit issues and, more importantly, risk for people working on the shopfloor.
FMEA can also support maintenance planning by helping teams identify failure risks before they become serious. This guide on FMEA in manufacturing explains how risk prevention can be structured.
Turning Maintenance KPIs Into Better Machine Reliability
Maintenance KPIs are not just numbers for reports. They help manufacturers understand where downtime starts, which machines need attention, which PM tasks are being missed and where maintenance cost is increasing.
The best approach is to start with a few important KPIs, track them regularly and review them with production and planning teams. Over time, these numbers help the factory move from reactive maintenance to proactive reliability.
With ManufApp, manufacturers can bring maintenance records, downtime, spare usage and preventive schedules into one connected system, making KPI tracking easier and more useful for daily operations.
Book a demo with ManufApp to see how digital maintenance tracking can improve machine reliability and shopfloor visibility.
