Russian Federation
Russian Federation
Russian Federation
Purpose: To obtain analytical dependencies for the optimal allocation of resources of various type recovery trains with the purpose to restore in the shortest possible timeframes of railway facilities destroyed as a result of regional emergences. Methods: A heuristic method of optimal resource allocation of various type recovery trains through railway facilities, destroyed as a result of a regional emergences, is applied. Proof of the optimality of the proposed heuristic method is given. Results: Within the proposed method frames, new analytical dependencies are derived for the distribution of resources of recovery trains of various types through railway facilities destroyed as a result of regional emergences. Mathematical formulation, based on the formulation of non-linear model of operations research theory, as well as solution algorithm of the task for the distribution of resources of recovery trains of various types through railway facilities destroyed as a result of emergences of a regional scale are given. Practical significance: On the basis of the considered dependencies, it is possible to increase the efficiency of calculation operativeness allowing to embody reasonable allocation of recovery trains of various types for the restoration of railway facilities destroyed as a result of regional emergences. The results of the study can be applied to the creation of informational-predicted systems that promptly implement the proposed analytical dependencies for more efficient restoration of railway facilities destroyed as a result of emergences of a regional importance.
Resources of recovery trains of various types, model for resource allocation of recovery trains of various types, algorithm for resource allocation, dynamics of recovery train arrival, technologies for performing operation on railway facilities
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