THE GENESIS OF LOGISTICS PROJECT MANAGEMENT UNDER MARTIAL LAW: FROM CONCEPTUAL TO INTELLECTUAL MODELS

Abstract

Problem. Managing logistics projects during martial law for security-oriented organizations is a key task that requires careful planning, coordination and effective use of resources. The quality of logistics processes determines not only the timeliness of goods delivery and cost optimization, but also the overall competitiveness of enterprises, complex organizational and technical regional systems.
Purpose. Comprehensive study of the theoretical foundations, methods of development and practical aspects of implementing intelligent models of logistics project management.
Research methods. While considering the theoretical foundations of intelligent models, it is necessary to pay attention to the definitions and basic principles of artificial intelligence, machine learning, decision support systems and optimization algorithms. It is important to understand how these technologies interact with each other and contribute to improving management processes in logistics.
Results. The article considers strategies for optimizing time and budget parameters of logistics management during martial law for security-oriented organizations based on intelligent modeling and best practices. A SWOT analysis of the balanced scorecard system of logistics projects under martial law was conducted, which showed the main opportunities, strengths, threats and weaknesses of logistics projects. A structural diagram of a decision support system (DSS) in logistics projects is presented, the key components of which are a logistics model database, an OLAP pattern analysis module and data mining tools.
Conclusions. The implementation of intelligent models in logistics requires a comprehensive approach and attention to several key aspects. One of them is the need for proper training and high-quality data for the effective operation of the models. It is also important to take into account organizational, managerial and ethical aspects when implementing new technologies. Intelligent models can play a key role in optimizing logistics processes under martial law, helping in inventory management, demand forecasting and planning delivery routes. They also allow to reduce costs, increase service quality and improve customer satisfaction.