Maintenance is more than just fixing what’s broken—it’s a strategic discipline that directly impacts uptime, cost efficiency, safety, and asset longevity. With increasing pressure on operational performance, selecting the right maintenance strategy for each asset is no longer optional—it’s essential.

There are 15 common types of maintenance strategies, each designed to address different operational risks, failure modes, and resource constraints:

1. Run to fail is a maintenance strategy where equipment is operated until it breaks down, after which repairs or replacements are carried out.
2. Corrective Maintenance is performed after a fault is detected but before failure escalates—reactive but controlled.
3. Preventive Maintenance involves scheduled tasks—like inspections or oil changes—to prevent breakdowns.
4. Condition-Based Maintenance is triggered by real-time condition changes, such as temperature or vibration anomalies.
5. Predictive Maintenance uses sensor data and analytics to forecast failures, enabling just-in-time interventions.
6. Proactive Maintenance focuses on system improvement to eliminate failure causes before they manifest.
7. Precision Maintenance ensures maintenance tasks are performed with exact specifications, tolerances, and procedures to optimize equipment performance and lifespan.
8. Total Productive Maintenance (TPM) involves all staff—operators, technicians, and managers—in maintaining and improving equipment reliability.

The key to success lies in matching the strategy to the asset’s criticality and failure risk. Critical assets that impact safety or production should be maintained using preventive, predictive, or condition-based approaches. Conversely, low-risk assets may be better managed with corrective or even breakdown strategies to conserve resources.

A practical first step? Conduct a maintenance strategy audit. Identify which assets are critical and assess the current approach. You may find that a shift to predictive maintenance for high-value equipment or empowering operators through autonomous maintenance can yield significant performance improvements.