In order to identify bottlenecks in the equipment operation and accumulate data for the development of organizational and technical measures to reduce unplanned equipment downtime, JSC “Vyksa Metallurgical Plant” keeps records of downtime of the main technological equipment. All equipment downtime is recorded by production personnel in the automated analysis system of the workshop. Reliability specialists in the workshops have classified all units into criticality categories, which are presented in the form of a matrix that includes two groups of indicators: 1) severity of the consequences – personnel safety, safety of equipment and environment, production losses, troubleshooting costs; 2) probability of occurrence – high, medium, low, or very low. When determining the criticality assessment of an equipment unit, the most critical case of equipment failure and the worst one are considered. Classification of equipment by criticality categories is used to rank equipment in terms of reliability. The article considers the criteria for operability of machine parts, as well as the main software complexes for strength analysis that exist today. Two have been selected that will be used as strength analysis tools. The analysis of equipment unplanned downtime due to the destruction of parts was carried out on the example of the wheel rolling shop of JSC “Vyksa Metallurgical Plant”, unloaded from the shop automatic analysis system. The authors proposed the directions of application of the selected strength analysis tools and made the strength analysis of equipment parts in order to increase their structural reliability. An assessment of the potential economic effect of introduction of strength analysis tools showed the feasibility of using this innovative approach leading to downtime reduction.