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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.1(61), 2025
    68-77

    Harmonization of criteria and input data sets when creating a model of optimal container handling at the terminal

    This study focuses on the harmonized definition of sets of source data and criteria for creating an optimal container handling model at a terminal of type «dry port» served by rail and road transport. The model development process should consider priority in managing rail and road transport, balancing their interests and the cost-benefit relationship between cargo equipment and inactivity of vehicles and/or containers, depending on the technology and speed of cargo handling. The article noted that in the part of setting the task, many authors have limited approaches to the concept of «optimal terminal operating model» and the applied criteria of optimality. The study proposes a set of initial data intended to create an optimal work model, which includes data on the characteristics of the container flow, terminal, transport and handling mechanisms and processing. When creating the optimal terminal operation model, it is possible to evaluate the efficiency of the process in isolation or in a complex at once in several aspects depending on the purpose of the simulation. The valuation can be performed using a value criterion (cost of processing TEU), a criterion in terms of the natural value (maximum amount of processing to be realized, duration of processing) or an integral criterion (natural-cost value). The work has shown that the completeness of the sets of source data and the determination of calculation parameters in several possible units of measurement make the model adaptive for various modeling tasks and application of different criteria of optimality. For data that is dynamic by nature, the procedure for automated retrieval from existing information management systems significantly accelerates and simplifies calculation, allowing its use for operational planning and management purposes.