Revamping Maintenance Strategies: How PM Optimization & FMEA Reduce Post‑Repair Failures

Last week on the Fiix blog, we explored why post‑maintenance breakdowns occur more often than expected.

At first glance, it raises a valid question: why invest in a maintenance strategy if equipment still fails? The reality is more nuanced. We found that post‑repair failures stem from either poorly executed work or excessive maintenance activity—turning preventive actions into counterproductive ones. Recognizing this paradox points directly to PM optimization as the remedy.

What is PM optimization?

According to Reliable Plant, PM optimization is a systematic approach to enhance both the effectiveness and efficiency of preventive maintenance activities. Effectiveness means targeting and mitigating the likely failure modes that have real operational impact. Efficiency, on the other hand, focuses on delivering those benefits with minimal labor, downtime, and material consumption.

Thus, PM optimization centers on confirming that every preventive task truly adds value: is it necessary, and does it deliver the intended operational benefit? To answer these questions, organizations must examine cause‑and‑effect relationships, moving beyond the assumption that every scheduled task is beneficial.

Using FMEA to optimize PMs

PM optimization starts by correlating failure data with the current preventive schedule. A robust CMMS is indispensable, providing access to work‑order histories, failure records, and maintenance calendars. By overlaying these datasets, distinct failure modes become apparent.

This analytical step falls under FMEA—Failure Modes and Effects Analysis—an ASQ‑endorsed methodology that systematically identifies every plausible failure in a design or process and assesses its impact on overall operations.

With FMEA insights, you can evaluate whether preventive tasks genuinely avert their target failures, or paradoxically contribute to them. Comparing failure events against P‑to‑F curves—showing the window between potential and functional failure—reveals whether a failure can be anticipated and mitigated before it manifests.

Get your free FMEA template here

The bottom line: True prevention lies in careful analysis

Analysis is the common thread across modern maintenance philosophies—reliability‑centred, predictive, and data‑driven preventive programs. Employing FMEA to refine schedules is not optional; it is essential. A maintenance plan that relies on a reactive or plug‑and‑play approach cannot be truly preventive. Continuous scrutiny and improvement are required to ensure that preventive actions remain genuinely beneficial.

Read more about post‑maintenance breakdowns and PM optimization:

Broken after it’s fixed: Explaining post‑maintenance breakdowns

Optimizing preventive maintenance using a CMMS

How FMEA Analysis Could’ve Prevented the £100M British Airway Catastrophe