STRUCTURING THE MAIN RESEARCH AREAS, MODELS AND METHODS OF MARITIME TRANSPORT MANAGEMENT

Abstract

This review aims to perform an intelligent analysis of various sources compiled based on modern scientific publications, industry and international conferences, market analytics, and development trends. The complexity and fragmentation of the research topics associated with the uncertainty of the influence of the external environment on the functioning of transport infrastructure facilities and global changes in the structure of relations are noted. It is shown that the development of transport logistics is characterized by the fact that simultaneously with its concept, there is a process of developing methodological foundations for new technologies for managing information support, processing and protection of information. Modern technologies for creating intelligent control systems are considered, and possible areas for improvement are indicated. The obtained information is structured into a basis on which trends in logistics development in maritime transport are laid: intelligent automation, robotics, big data analytics, the Internet of things, cybersecurity, cloud platforms, blockchain, and artificial intelligence. From the standpoint of maritime transport logistics, the advantages, disadvantages and areas of rational use of the proposed structuring are analyzed. This made it possible to identify promising areas of scientific research and provide a basis for constructing conceptual transportation models in complex operating conditions.

Keywords: maritime transport logistics, development trends, uncertainty, intellectualization, management, structuring.

Published
2025-05-20
How to Cite
MOVCHAN, P., & SHARKO, O. (2025). STRUCTURING THE MAIN RESEARCH AREAS, MODELS AND METHODS OF MARITIME TRANSPORT MANAGEMENT. ADVANCES IN MECHANICAL ENGINEERING AND TRANSPORT, 1(24), 45-59. https://doi.org/10.36910/automash.v1i24.1708