Abstract:

The primary task of maintenance teams is to ensure the continuous and trouble-free operation of machinery during scheduled production, which is crucial for maintaining high productivity and manufacturing quality. With the rapid development of information technology, maintenance teams are gaining access to an ever-increasing volume of data from both operators and machines themselves, creating new opportunities for analysing and optimising operations. Limited resources available to managers necessitate informed and accurate decision-making. These decisions concern how to carry out specific tasks related to the operation and maintenance of machinery. Such choices should be based on a thorough analysis that takes into account various factors affecting their operation. One of the tools supporting the decision-making process is the classification of machinery and equipment, which allows them to be organised according to established criteria. The aim of this article is to define a classification of criteria based on the source of data, enabling the determination of the value of each criterion used in the analysis, and to propose a method for calculating a value representing the criticality of an object.