Improving the Efficiency of Road Transport Management Based on the Assessment of its Reliability and Quality

Abstract

The article considers theoretical and applied aspects of assessing the feasibility of further operation of vehicles that have lost part of their technical resource due to prolonged operation. Particular attention is paid to the problem of making informed decisions on the continuation of use or write-off of transport units, taking into account both technical condition and economic feasibility. In the context of the increase in the cost of new vehicles, the increase in prices for maintenance and repair, as well as the need to optimize fleet management costs, the relevance of this study is due to the need for a systematic approach to assessing the efficiency of operation of transport that has already partially exhausted its resource.

Within the framework of the study, a structure of the methodology for assessing the residual resource of vehicles was proposed, taking into account technical and economic indicators. Key parameters that influence decision-making were identified, in particular indicators of reliability, intensity of operation and the coefficient of technical readiness. A mathematical model was generalized, which allows for a formal assessment of the feasibility of further operation of a particular vehicle, taking into account real operational data, as well as for predicting the efficiency of further use of the vehicle.

Prospects for further research are outlined, including taking into account external operating factors, adapting the model to different types of vehicles, using artificial intelligence and machine learning methods to increase the accuracy of forecasts of technical condition and operational efficiency. The study has practical value for transport logistics entities, fleet managers, as well as scientists dealing with issues of the efficiency of technical operation of transport.

Keywords: operational feasibility, vehicles, technical resource, residual resource, technical and economic assessment, efficiency of use, wear, maintainability, fleet management, mathematical model, decision-making, transport logistics.