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.
Annotation. The paper examines the current trends in the development of logistics systems, taking into account the technologies of Industry 4.0. One of the current trends is the use of drones in warehouses for inventory and delivery. In the article proposes a model of a warehouse with the use of an unmanned vehicle – a robot cart. This article describes the search for the optimal route of an drones using genetic algorithms. Its application allows you to quickly and accurately calculate the required path. For the solution, the program code is written in Python using the Matplotlib library and Orttools. The result of the program is the minimum route of the robot. The developed model can be used in various enterprises.
Key words. Drones, genetic algorithm, Industry 4.0, logistics systems.