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The article solves the problem of optimal selection of rolling stock within groups according to the criterion of minimum sum of squared deviations of the current values of a given metric on the evaluation of their mathematical expectations for group objects. The solution obtained on the basis of methods based on ideas integer programming using Boolean variables and concepts of the relation between objects and between groups of objects.

In article the problem of determination of length of turn of structures, the total loading capacity of the transport which isn't provided with freight, quantity of freight of the transport knot which is in a timepoint in a warehouse on the basis of definition of distribution of a random variable of the freight expecting loading or unloading, and also the free capacity of vehicles taking into account restrictions on the capacity of warehouses is considered. During the solution of a task the following assumptions are accepted: capacity of cargo handling devices of transport knot isn't limited; time of the translation of giving of cars for the pogruzoch-but-unloading front and back isn't considered. The structure is understood as conditional structure which loading capacity is equal to the total loading capacity of some party of real structures, and the moment of its arrival - to the arrival moment on transport knot of the last of them. The received results can be used for determination of optimum values of warehouse capacities and a technological stock of freight of transport knot at the set goods turnover.

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.