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Scientific and technical journal established by OSTU. Media registration number: ПИ № ФС77-75780 dated May 23, 2019. ISSN: 2220-4245. Subscription index in the online catalog «Subscription Press» (www.akc.ru): E28002. Subscription to the electronic version is available on the «Rucont» platform.
The journal is included in the Russian Science Citation Index and in the List of Russian Scientific Journals .

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  • V.3(63), 2025
    90-100

    Measures to accelerate cargo delivery in the logistics chain

    Rapid globalization and growing transportation volumes require the implementation of modern technologies and innovative solutions. Therefore, it is essential to effectively plan cargo transportation using various modes of transport. Freight transportation involves moving cargo from the point of production to the point of consumption. Objective: Freight transportation is driven by the need to continue and complete the production of industrial and agricultural products in circulation, after which they become ready for consumption. The proposed methodology for improving cargo delivery will ensure the calculation of all types of shipments, and will also reduce cargo delivery time. Method: The application of this methodology will help define the decision-making process for various plant processes. The proposed model is based on mathematical modeling of process dependencies for effective decision-making. To test the methodology for standardizing transportation times, it is necessary to organize them taking into account the delays of each technological process. The main reason for implementing standards is to expedite cargo delivery and properly distribute penalties between the railway and customers for late delivery. Scope of application of the results: Ultimately, effective freight flow management in rail transport requires a comprehensive approach aimed at improving all aspects of operation, which in turn will contribute to increased freight turnover and the development of the transport system. The effectiveness of this methodology allows for decision planning by studying factors affecting waiting times for ongoing technological processes to improve freight delivery. This model reduces wagon waiting times and allows for monitoring technological processes.
  • V.4(44), 2020
    104-111

    Organization of traffic of assembled trains between technical stations for delivery of goods

    It’s investigated and analyzed the operations which carried out by assembled trains in the section, developed the mathematical model which ordered the time traffic of assembled trains, in supposed an effective method in shortening of time in traffic of trains between of two technical stations.
  • V.4(48), 2021
    129-138

    Improvement of the mathematical model of the delivery time of wagonload cargo by rail

    The method of determining the costs of technological time of processing trains en route has been improved, taking into account the duration of all operations performed by wagons at stations for the effective organization of freight transportation technology on railway transport. A model for calculating the delivery time of goods has been developed to correctly determine the time spent by loaded wagons en route. A method has been developed for determining the time spent on technological operations at stations and the delivery time of goods. The developed method allows you to determine and plan in advance the amount of work that will be performed at the stations. The indicators affecting the duration of the time of delivery of the cargo are given. An improved formula for determining the delivery time of goods by rail is recommended. The article proposes a technology for calculating the daily mileage rate of wagon shipments, depending on the technological operations performed with wagons at stations and the distance of transportation. The reliability of the research results is confirmed by the use of modern calculation methods. Theoretical studies were conducted on the basis of the laws of mathematical statistics. The scientific significance of the results obtained is characterized by the improvement of methods for determining the costs of the technological time of processing trains and the timing of cargo delivery based on the systematization of conditionally constant and random factors affecting the transportation process on railway transport.