Abstract
Approaches to the management of maintenance and repair of rolling stock are now increasingly being developed into management decision support systems. The given article is directed on studying of innovative technologies on an example of service maintenance service and repair of a rolling stock. The model of service maintenance and repair of rolling stock is able to dynamically optimize management decisions on management of multi-component system during the whole life cycle. This model is based on monitoring and dynamic grouping of the operations under consideration. Dynamic grouping includes short-term information about the use of rolling stock, as well as unexpected failures of rolling stock. The method of dynamic optimization of service maintenance and repair uses a priori reliability characteristics to update the planning of maintenance or repair at the time of making management decisions. The simulation model will allow to display the system and obtain technical and economic indicators of efficiency of the service maintenance strategy functioning. The modeling results will allow transport companies to evaluate the service maintenance and repair strategy, which will influence the management decision making.
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