The introduction of monitoring systems for the work performance of special rolling stock and monitoring the load of snow removal work trains revealed a number of shortcomings in the planning, organization, and recording of work performed by snow removal work trains. The elimination of the identified problems is possible on the basis of optimization of work performance, the implementation of which can be achieved on the basis of existing systems with appropriate additional functionality. For this purpose, in the framework of the theoretical studies presented in the paper, a methodology for optimization of work performance of snow removal work trains has been developed. Linear programming is adopted as a method of solving the optimization problem. On the basis of the algorithm for solving the transport problem, the problem of minimizing the cost of snow removal from various sections of the track by the existing park of work trains is formulated, for which a mathematical model is constructed that includes the objective function and the corresponding restrictions. The results of the study show that the widespread use of work planning on the basis of the presented optimization methodology will make it possible to make the most efficient use of snow removal equipment and, as a result, to reduce the cost of this type of railway track maintenance work.
Ensuring stable parameters of a railway track after bringing it into a design position is a key measure of quality for evaluating completed repairs. Identifying quality criteria for sleeper tamping using a special rolling stock is a high-priority problem for a railway track infrastructure. This problem is complicated by a large choice of ballast compaction, leveling and finishing machines, totaling more than 30 types. The paper presents results of theoretical studies aimed at assuring and controlling the quality of tamping by multi-purpose track machines. The factors that determine the stability of railway track parameters in operation were identified. The track repair processes were analyzed. The operating factors that are essential for developing qualitative process parameters were identified for various types of track machines. Based on the findings of these studies, a quality assurance and control methodology was developed for railway track repair and maintenance operations.
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