Model of passenger rolling stock maintenance

Abstract

In order to improve the quality of maintenance and repair of a passenger rolling stock, Russian Railways JSC requires transition to routine maintenance. The paper studies the main stages of building a discrete-event model of a passenger rolling stock maintenance using AnyLogic environment. The following key parameters of maintenance are used: Maintenance facilities location, rolling stock operability index, probability index for operational efficiency (downtime and failure probability), maintenance and repair costs. The maintenance model is implemented in the integrated modeling library. Simulation model enables to implement the modeled system and obtain performance indicators of routine maintenance system operation. By simulating various conditions it is possible to evaluate efficiency of the studied maintenance system for a high-speed passenger rolling stock.