The Pareto principle in lubrication management
Why a small number of controllable causes drives most downtime — and how to prioritise effectively
In plants of all sizes, a consistent pattern emerges: a small number of controllable causes drives the majority of failures, downtime, and maintenance effort. This is the Pareto principle applied to lubrication management, and understanding it changes how you allocate time and resources.
Three failure mechanisms dominate: contamination, incorrect or insufficient lubrication, and assembly and alignment errors. Together, they account for a disproportionate share of premature bearing, chain, and gearbox failures. Fatigue is often cited as the cause, but in most cases, it is the outcome of one of these three.
The practical implication is straightforward: by identifying and addressing the critical few, maintenance teams can improve reliability, recover labour hours, and reduce unplanned downtime, without doing more, but differently.
In the full article, we walk through how to identify the 20% in your plant, which components are most vulnerable, and how structured lubrication management, translates the Pareto principle into measurable results.