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.
Dear readers! We present to your attention the final issue of the LOGISTICS journal in 2024. We have tried to make it rich and interesting. Today, many Russian companies operate under strict sanctions restrictions, which force them to reorient logistics flows. One of the possible solutions to this problem may be the Russia – Mongolia – China economic corridor. Details can be found in the article by Alexandra Kazunina.
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Annotation. The prospects of using the concept and technology of data transmission networks and the physical Internet in logistics are shown. The possibilities of using reference network models of data transmission and processing for logistics business processes of the physical Internet, in particular the OSI, TCP/IP, OLI and NOLI models, are considered. The levels of reference network models are analyzed and their adaptation to the coordination of logistics operations in multi-layered supply chains is proposed. Examples of the use of OLI/NOLI models in the logistics of intermodal container transportation are given.
Key words. Logistics business process, supply chain management, reference network model, logistics network, physical Internet, model level.
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