Evaluating the Effectiveness of Intelligent Decision-Making Algorithms in Transport Logistics
Kalit so'zlar:
Transport logistics, Intelligent decision-making, Artificial Intelligence, Machine Learning, Route optimization, Predictive maintenanceAnnotatsiya
This paper evaluates the effectiveness of intelligent decision-making algorithms in modern transport logistics. As global transport networks become increasingly complex, traditional management methods are no longer sufficient for ensuring timely delivery, cost optimization, and operational stability. Artificial Intelligence and Machine Learning technologies — including neural networks, expert systems, and optimization algorithms — significantly enhance routing, resource allocation, predictive maintenance, and demand forecasting. Their application reduces delivery time, fuel consumption, and human-factor errors while improving safety and service quality. The study highlights key performance indicators used to assess algorithmic efficiency and emphasizes the importance of continuous monitoring and refinement to achieve sustainable logistics operations
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