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The article deals with the locomotive lifecycle problem at vehicle technical maintenance and repairing service. It proposes to encapsulate the statistic methods into the automatic locomotive depot control system basing on the example of management with the minimum stock spare parts level. In such a group of companies as "Locomotive technologies" the efficacy of maintenance and repairing technological processes is improved by creation and implementation of the information management control system "Network diagram" into the locomotive depot service. Its implementation was started in 2016 and should be completed by the end of 2017. In practice methodological approaches of international (ISO) and national (GOST) standards of management quality and reliability, lean manufacturing and statistic methods of management in conditions of locomotive depot service are proposed to be used basing on the principle of "Built-in quality". In this case logical constructions, algorithms and formulas are encapsulated into “Network diagram” software significantly reducing the training level demands of the depot personnel. The article also proposes to control the minimum level of stock spare parts in the locomotive depot in terms of “Network diagram” software through encapsulation of probabilistic-statistical methods of minimum stock calculation according to the data on intensity of parts consumption and the time of their delivery to the depot.

In article the solution of a task of the organization of operational monitoring of elements of the rolling stock on the basis of the methods of statistical definition of quality which were widely used in the analysis of defects of the current production is considered. The problem is solved on the example of carrying out control and diagnostic operations by results of which realization the conclusion about technical condition of elements of the rolling stock becomes. The approach offered in article allows to consider a posteriori information and by that to optimize the volume of the carried-out works. The received results can be used at the solution of a complex of tasks of decrease in resource intensity of system of repair and the maintenance of the rolling stock.