In today’s environment of globalisation and integration of world markets, effective management of import processes is critical for both government agencies and individual enterprises. The article discusses graphical methods that can be used to describe and analyse import processes with a view to their further optimisation. Particular attention is paid to grid modelling as an effective method of visualisation and management of import processes. A literature review is carried out and the effectiveness of using grid models in logistics processes is proved. The importance of optimising transport routes, selecting optimal checkpoints and using modern information technologies to monitor and manage import processes is sub- stantiated, which allows identifying critical elements of logistics systems, timely identifying potential de- lays and developing strategies to minimise the negative impact on the import process. It has been found that graphical methods of analysis allow visualisation of complex logistics operations, simplify their inter- pretation and make effective management decisions. The article proposes to use grid modelling for a de- tailed analysis of import processes, including the formation of the structure of logistics networks, deter- mination of optimal routes for the transportation of goods, identification of critical nodes and routes that may become sources of delays or additional costs. It is established that the use of grid analysis methods contributes to increasing the transparency of supply processes, improving coordination between partici- pants in supply chains and reducing operating costs.
The results of the study confirm the feasibility of using grid modelling as an effective tool for ana- lysing and optimising import processes. This approach can be useful for enterprises engaged in foreign economic activity, organisations involved in planning logistics operations, as well as researchers studying the problems of international delivery management. The use of graphical methods can significantly in- crease the efficiency of analysis, minimise the risks associated with delays and financial losses, and im- prove the process of making management decisions in the field of international logistics.
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