Quality of maintenance: Mirce Mechanics axiom

The purpose of this paper is to develop a science‐based formulation of quality of maintenance processes.

The paper takes the form of scientific analysis of the faulty maintenance tasks to determine the pattern of phenomena and to understand the nature of causing mechanisms.

Faulty maintenance tasks are found to exist in statistical analysis of the tens of thousands of maintenance tasks in defence, aerospace, transportation (including Formula 1 Grand Prix racing), communication and other industries, which has led to the formulation of the probabilistic axiom of the quality of maintenance.

This axiom has a profound impact on the properties of any maintainable system, such as reliability, availability, safety, cost, effectiveness and many others, on the one hand, and associated processes such as manufacturing, operation, logistics support, on the other.

The paper presents the formulation of the second axiom of Mirce Mechanics, which is related to the quality of the maintenance processes and a new classification of quality‐based maintenance tasks.