3 Key Strategies to Restore Control Over Your Preventive Maintenance Program

3 Key Strategies to Restore Control Over Your Preventive Maintenance Program

Preventive maintenance schedules proactive actions to stop breakdowns before they happen. Repeated evidence shows that ad‑hoc repairs accelerate asset wear, shrink useful life, and raise long‑term capital costs. A robust PM program is the cornerstone of operational reliability, extending asset life, cutting repair needs, and strengthening your bottom line.

Yet many facilities see PM drift down the priority list. A common excuse is labour pulled into emergency repairs. As firefighting time grows, scheduled PM work slips. Compare the hours spent on unscheduled fixes to the hours logged for planned maintenance: high repair hours and low PM hours signal a failing program. The only way out of this vicious cycle is to regain control of emergency repairs and then reinstate disciplined PM.

Ignoring PM is a recipe for more costly unscheduled downtime. Use these three steps to bring your preventive maintenance back on track:

1. Record and Monitor PM in a CMMS

A reliable Computer‑Based Maintenance Management System (CMMS) lets managers, technicians, and stakeholders view the status and cost of every PM job in a single dashboard. It also enforces checklists, ensuring tasks are performed in the correct order and nothing is missed.

2. Apply the 10% Rule

For time‑based PM, the 10% rule states that the work should be finished within ten percent of the scheduled interval. For example, a quarterly inspection due every 90 days must be completed within 9 days of the target date. Keeping intervals tight reduces variation, boosts reliability, and prevents late compliance.

3. Track Key Performance Metrics

Integrating all maintenance data into a CMMS enables automated analysis—repair vs. replace decisions, trend reports, and KPI tracking. Capture metrics such as Mean Time Between Failures (MTBF), PM compliance, and Critical Asset %. Regularly review trends to spot weak links, understand failure patterns, and make data‑driven improvements that enhance availability and profitability.