Scientific & Practical Journal
Editorial News
Dear readers! We are pleased to present you the sixth issue of the LOGISTICS magazine in 2025, which contains a lot of relevant materials. In the latest issue, our permanent partner COMITAS company presents an innovative solution dictated by the shortage of warehouse space and difficulties with personnel selection – the high-rise automated self-supporting "COMITAS Warehouse".
Dear readers! The first half of the year is approaching, which means that on the pages of the fifth issue of the magazine you will find a lot of useful analytical materials on the markets of warehouse real estate, cargo transportation, etc. Our authors Yu.V. Klimenko, M.G. Grigoryan, R.N.
Dear readers! We present to your attention the fourth issue of the LOGISTICS journal. By tradition, in the April issue we summarize the results of TransRussia | SkladTech 2025. This year, the exhibition attracted a record number of exhibitors and over 30,000 visitors. Under the heading "non-economic activity", we are posting an interesting article by A.V. Efimov on the prospects for the development of non-primary non-energy exports from Russia to Vietnam.
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Optimization of the route of unmanned aerial vehicles when used in a warehouse with genetic algorithms
Daria Skvortsova, Anastasia Fedina, Valeria Kulbatskaya, Dmitry Ermakov6 / 2021 | WAREHOUSE. INVENTORY MANAGEMENT
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.
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