Intelligent support for monitoring transport and logistics services in integrated supply chains based on risk management

This study develops an approach to intelligent support for monitoring transport and logistics services in integrated supply chains based on risk management. The relevance of the work is determined by the growing uncertainty and risk burden in transport and logistics processes, geopolitical instability, transformation of logistics routes, and increased competition between transport modes. Special attention is given to water transport, which is highly dependent on natural, infrastructural, organizational, and technological factors, increasing the likelihood of cascading effects within supply chains. The aim of the research is to form a concept for integrated risk monitoring of transport and logistics services and to develop an intelligent decision support system to ensure sustainable and safe functioning of integrated supply chains. The object of the research is transport and logistics services as part of integrated supply chains, while the subject is the methods and tools for monitoring and assessing risks arising during their implementation. The methodological basis includes risk management, system analysis, expert assessments, and methods for forming and analyzing management decision alternatives. The study describes procedures for obtaining relevant risk information, presents the structure of the intelligent support system, details the content of its semantic core, and explains the algorithm for selecting optimal management solutions. The results substantiate the expediency of using intelligent systems for monitoring risks in transport and logistics services, highlight the role of critical points in water transport for ensuring supply chain resilience, and emphasize the importance of data visualization in improving decision efficiency and validity. The proposed approach is applicable to various classes of transport and logistics services, including water transport, whose facilities may be considered critical points of integrated supply chains with increased risk exposure.

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