2018 impact factor: 0,362

 

Two-year RSCI impact factor

Five-year RSCI impact factor

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Abstract

As a result of the analysis of the problem of implementing autonomous maintenance at metallurgical enterprises, the goal was to identify specific actions that are considered an integral part of any autonomous maintenance program. Autonomous maintenance of equipment allows for reducing unscheduled equipment downtime, increasing the overhaul period and, in general, improving the reliability of equipment, in addition, it increases employee engagement by providing them with responsibilities that have a real and tangible impact on business success. The main idea of autonomous maintenance has been analyzed. Its purpose is to detect defects at an early stage, prevent accelerated wear and tear of equipment, and maintain it in good working condition. It also aims to train operators to independently maintain their equipment by performing daily inspections, lubrication, and certain types of repairs, as well as creating maintenance standards. The authors have identified 7 steps of autonomous maintenance aimed at increasing the operator's and equipment's productivity. The stages and specific actions of implementing autonomous equipment maintenance have been highlighted. The experience of implementing autonomous equipment maintenance at metallurgical enterprises has been reviewed. It has been revealed that the implementation of autonomous maintenance reduces the likelihood of accidents, which in turn increases the inter-repair period and frees up maintenance personnel for more complex maintenance tasks. The ability to identify problems before they lead to critical equipment failures, as well as ensuring proper cleaning and lubrication of equipment, not only improves overall safety but also helps to enhance equipment efficiency and overall productivity. The potential technical effect of the implementation of organizational and technical solutions for the implementation of autonomous equipment maintenance is achieved by reducing unscheduled equipment downtime and reducing current repair costs. The implementation of autonomous maintenance leads to both an increase in the operational efficiency of the enterprise and the development of a preventive maintenance culture, where operators take responsibility for their equipment.

Keywords:

Lean manufacturing, autonomous maintenance, operational efficiency, labor productivity, 5S, production efficiency

Ponomareva Olga S. – Candidate of Pedagogical Sciences, Associate Professor, Associate Professor of the Department of Management and Public Administration at the Institute of Economics and Management, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0003-2274-2964

Nazarova Olga L. – Doctor of Pedagogic Sciences, Professor, Professor of the Department of Management and Public Administration at the Institute of Economics and Management, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0003-2274-2964

Maiorova Tatyana V. – Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department of Management and Public Administration at the Institute of Economics and Management, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0002-5137-6425

Reshetova Irina V. – assistant at the Department of Metallurgy and Chemical Technologies, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Kozlov Roman A. – Candidate of Pedagogical Sciences, Associate Professor, Dean of the Faculty of Physical Education and Sports, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia.