Dear readers! We present to your attention the third issue of the LOGISTICS journal. First of all, we would like to draw readers' attention to our new partner R1 Development, a development company that creates a new generation environment and specializes in the construction of industrial, logistics, commercial and residential real estate. One of the projects of R1 Development is the Druzhba industrial park network.
Dear readers! We present to your attention the third issue of the LOGISTICS journal for 2025. Our editorial staff, like all our colleagues, is preparing for the TransRussia 2025 exhibition, the largest event in the industry. In this issue, we have prepared an interview with Natalia Lomunova, Director of TransRussia, with whom we are talking about a flexible approach, new participants and digital services. We continue the series of articles from P.V.
Dear readers! We present to your attention the first issue of the LOGISTICS journal in 2025. First of all, we would like to draw readers' attention to our new partner R1 Development, a development company that creates a new generation environment and specializes in the construction of industrial, logistics, commercial and residential real estate. One of the projects of R1 Development is the Druzhba industrial park network.
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![](<a href÷"https://logistika-expo.ru/registration?payed_promocode=MPLGPF" target="_blank">><img src="http://www.logistika-prim.ru/storage/press/LOG_100x100.png" alt="" width="100" height="100"></a>) |
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Annotation. The article presents the author's interpretation of the functionality of agent-based modeling as an information basis used in the design of logistics systems. A retrospective excursion into the theory of agent-based modeling is carried out, based on the results of which a conclusion is drawn about the presence of significant advantages of agent-based modeling relative to other methods for forecasting and planning logistics activities. The scientific novelty of the research is presented in the article in the form of a complex of environmental factors that have a direct impact on the planning, organization and operation of logistics systems.
Key words. Logistics, agent modeling, simulation modeling.
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