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. This paper examines the impact of changes in some parameters of models describing demand on the solution of the problem. It is assumed that the distribution functions of random variables describing demand are unknown, but their mathematical expectations are known. The generalized problem is posed as a discrete programming problem with nonlinear separable functions. For an approximate solution of the problem, its continuous relaxation is performed. The solution method involves linearizing the continuous relaxation and using separable programming and branches and boundaries schemes.
Key words. Iinfrastructure, mathematical programming, demand, stability.
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