Аналіз напрямків розвитку технологій, що базуються на застосуванні штучного інтелекту, в логістиці Збройних Сил України

The development of the logistics system of Ukrainian Armed Forces is expected to follow the path of developing means of automating processes, improving vertically integrated automated control systems, harmonizing command systems with similar systems of armies - NATO members. The most obvious way to develop the automated control systems (ACS) of all levels is to use technologies based on the artificial intelligence (AI) usage in the systems of accumulation, search, exchange and analysis of information. In this article, using the examples of development and research carried out by order of such commands of the US Armed Forces, the most obvious options for the use of artificial intelligence systems and algorithms in ACS are considered. The possibilities provided by the application of AI technologies in technical maintenance are studied, using the ALIS system as an example for diagnosing F-35 family aircraft. This system is designed to operate in aerodromes and allows to minimize the time to diagnose an aircraft by a person. As an option for the development of the logistics system for the land component of the Armed Forces, the experience of using the WATSON system to diagnose Stryker combat vehicles is considered. From the point of view of improving the system of regulation and control of military procurements, the possibilities of the DLA system are considered. The possibilities of improving the system of medical support for military personnel both at troop stations and in the field were also considered. The issue of automation of the supply of units and military personnel on the line of contact with the enemy using unmanned systems is highlighted. The listed branches of logistics development using the example of the US Armed Forces provide an understanding of the directions for further research on the AI algorithms use in improving the ACS of logistics in the Ukrainian Armed Forces.