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.

Highlights

  • Reorganization of Russian transportation system, federal railways, caused significant changes in structure of transportation services

  • There is lack of the ability to forecast the level of operational readiness considering the existing limits of finance, passenger flow, failure intensity [2,3]

  • Development of routine maintenance model will provide accuracy of predictive estimates of operation and repair parameters which largely define the effectiveness of passenger rolling stock life cycle management

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Summary

Introduction

Reorganization of Russian transportation system, federal railways, caused significant changes in structure of transportation services. Scientific support of maintenance system presently fails to provide accurate operational readiness assessments of a passenger rolling stock. It is suggested to perform system modeling that includes simulation of routine maintenance of a passenger rolling stock. Russian researchers pay a lot of attention to the use of mathematical methods for solving tasks of organization and management of rolling stock maintenance and repair. Scientific support of maintenance and repair management consists in development and application of routine maintenance model This will facilitate transition from maintenance and repair of existing and high-speed passenger rolling stock to routine maintenance. Development of routine maintenance model will provide accuracy of predictive estimates of operation and repair parameters which largely define the effectiveness of passenger rolling stock life cycle management

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