Abstract

The article is devoted to modelling the duration of cargo operations at intermediate stations on the route of a modular express freight container train (MEFCT), that is, a train with a fixed schedule heading from the initial to the final station without remarshalling a rolling-stock, but performing the cargo handling operations for loading/unloading of containers at intermediate stops on the route. Cargo handling operations at intermediate stations of a MEFCT entail a non-productive run of a loader along the train from one container to be reloaded to the other. In the case of a random placement of containers on a train, the completion time of the complex of cargo handling operations will be a random variable. Modelling of this random variable is carried out on the basis of the Monte-Carlo method in order to determine the most probable time of stopping of a train to perform cargo handling operations, as well as possible deviations from the average value. At the same time, duration of the complex of cargo handling operations at the station is proposed to be estimated depending on the volume of loading/unloading operations of containers at each point and the distance travelled by a loader along a train, which is given in the model by a random evenly distributed value. Based on numerical experiments with the model, the regression dependence of the time of cargo handling operations on the volume of container loading was established, as well as variations of this value due to the random nature of the placement of containers on a train. The model allows you to form a reasonable timetable for a MEFCT and increase the reliability of departure time of a train.

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