Ensuring the efficiency of the system of technical maintenance and repair of transport and technological machines

Current situation with the fleet of transport and technological machinery in Ukraine requires an individual approach to evaluating the effectiveness of its maintenance and repair system. The article is devoted to the issue of selecting the most effective option for the use of transport and technological machinery taking into account the specific conditions of its operation characterized by certain risks and uncertainties, and considering the real volumes and age structure of the fleet. Solving this problem requires substantiation of management models of maintenance and repair processes. It is necessary to provide scientifically based methods of managing the system of technical maintenance (TM) and repair of transport and technological machinery (RTTM) using specific methods of an individual approach to the technical and economic evaluation of the effectiveness of maintenance and RTTM processes which are adapted to the modern conditions of its operation. The article presents the results of the research, which was carried out using the basics of system analysis, the theory of decision-making under the conditions of uncertainty, and the basics of multi-criteria analysis. In the course of research, an analytical management model of the maintenance and repair system operation was formed that reveals the sequence of implementing the management methodology, which makes it possible to assess its state in successive discrete states, to promptly take into account the effect of external influencing factors and make corrections, which, in turn, allow increasing the validity of strategic decisions aimed at increasing the effectiveness. A numerical calculation was performed, which allowed us to conclude that the value of maintenance intervals has a significant impact on the indicator of effectiveness. Adjusting this value makes it possible to optimize maintenance and repair processes.

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Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).