Критерії сучасних систем управління ризиками у дистрибутивних логістичних каналах

Abstract

An urgent scientific and practical task is to develop new and improve existing models, methods and information technologies for detecting contextual transactional anomalies in distribution logistics channels. Solving this problem using modern machine learning methods will make it possible to create multifunctional automated logistics management systems in practice that are capable of responding to a wide range of threats.