Development of management systems for the production of dualuse products using AI technologies

A methodology has been developed for the use of artificial intelligence to optimize the monitoring and management of production processes related to the production of dual-use goods and technologies, which is relevant under technological pressure. The research suggests algorithms based on machine learning methods with reinforcement that ensure the adaptation of inventory management systems to changing conditions and limited resources. Based on the analysis of inventory management methods, artificial intelligence algorithms and industry constraints, approaches have been formed to integrate intelligent technologies into software designed to support production planning and logistics. The focus is on developing models to assess artificial intelligence effectiveness and methods for forecasting production performance under risks, uncertainty, and defense capability requirements. The proposed set of algorithmic tools relies on the processing of retrospective and current data, which makes it possible to increase the accuracy of forecasts and reduce estimated costs. The paper presents criteria and performance indicators that take into account the specifics of dualuse products. The results obtained in the work are intended to increase production efficiency, rational allocation of resources and the formation of development programs for enterprises of the military-industrial complex and high-tech industries.