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 reveals the essence of prescriptive (prescriptive) analytics and the methods by which it is presented. The relevance of the topic is due to the need for effective decisions by commercial enterprises in the field of mainline transportation, due to their rise in price. An example of the formulation of a logistical problem and a way to solve it, aimed at reducing transportation costs under existing restrictions, is presented.
Key words. Mathematical optimization, prescriptive analytics, mainline transportation, capacity, transportation optimization, cost minimization.
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