Features of the Developed Organizational Structure of the Machine Maintenance System

Increasing the efficiency of labor and material resources not only in the forest industry, but in the economy as a whole is a topical issue. This goal is achieved not only through evergrowing supply of machinery and automation equipment, but also by increasing their reliability and durability, as well as bringing the quality of machines and mechanisms to world standards. As a result of the studies, a general technology for the operation of the machine maintenance system is developed, as well as a technology for operational management of maintenance and repair processes.

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Publication Details

Journal
Steel in Translation
Published
2024-11-01
DOI
https://doi.org/10.3103/s096709122470195x
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
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article

Features of the Developed Organizational Structure of the Machine Maintenance System

А. В. Скрыпников, В. Г. Козлов, Pavel Alexandrovich Boikov, V. A. Timofeev et al.
Steel in Translation
Engineering Diagnostics and Reliability
article

Features of the Developed Organizational Structure of the Machine Maintenance System

А. В. Скрыпников, В. Г. Козлов, Pavel Alexandrovich Boikov, V. A. Timofeev, V. Yu. Bukreev
article en

Abstract

Increasing the efficiency of labor and material resources not only in the forest industry, but in the economy as a whole is a topical issue. This goal is achieved not only through evergrowing supply of machinery and automation equipment, but also by increasing their reliability and durability, as well as bringing the quality of machines and mechanisms to world standards. As a result of the studies, a general technology for the operation of the machine maintenance system is developed, as well as a technology for operational management of maintenance and repair processes.

Steel in TranslationVol. 54(11)
Voronezh State Agrarian University named after Emperor Peter the Great (RU)
Openalex Percentile: Top 70%
Engineering Diagnostics and Reliability
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