OPTIMIZATION OF THE FORMATION OF THE INTERNATIONAL TRANSPORT SYSTEM IN EXTREME CONDITIONS

It has been substantiated that in the context of modern global challenges such as natural disasters, armed conflicts, economic crises, and pandemics, there is an urgent need to improve the system of international transport logistics. Effective management of logistics processes in extreme conditions is critical to ensuring supply chain continuity and minimizing economic losses. It has been proven that the use of digital technologies such as the Internet of Things (IoT), Big Data, and Artificial Intelligence (AI) enhances the efficiency, accuracy, and adaptability of logistics operations. The Internet of Things enables real-time data collection, Big Data facilitates the analysis and interpretation of this data for informed decision-making, and Artificial Intelligence optimizes routes and predicts potential risks. It has been argued that the integration of these technologies into a unified international transport management system is the most promising method for achieving high efficiency in complex and unpredictable conditions. Mathematical models and formulas used to describe these processes allow for accurate assessment of costs, data quality, maintenance expenses, as well as the adaptability and resilience of the system. However, the implementation of these technologies is not without challenges. High initial investment costs, data security and privacy concerns, integration complexity of different systems, and dependence on data quality can become significant obstacles. It has been substantiated that overcoming these challenges requires a gradual approach to technology implementation, the use of reliable encryption algorithms, standardized protocols and interfaces, as well as regular monitoring and data validation. In summary, optimizing the international transport system through digital technologies in extreme conditions is both necessary and feasible. This approach ensures supply chain stability, reduces costs, enhances security, and increases the adaptability of the system. The implementation of this method requires careful planning, substantial investments, and continuous improvement, ultimately leading to greater efficiency and resilience in global logistics operations.