Agent-based modeling of service maintenance and repair of rolling stock

Abstract

Currently, a great number of modern passenger rolling stock is being put into operation. The organization of service maintenance and repair of passenger rolling stock is one of the key objectives for a rail carrier. At present, maintenance and repair costs constitute about 75% of the total expenses of carrier companies. This paper examines a simulation modeling system designed to integrate the scheduling tasks of service maintenance and repair of passenger rolling stock, and the main stages of building a discrete-event model of a passenger rolling stock maintenance system using the AnyLogic environment. The simulation model will allow recreating the system and obtaining the performance indicators for the service maintenance strategy. The modeling results will enable carrier companies to evaluate the service maintenance and repair strategy, which affects making managerial decisions.