graduate student
The academic paper focuses on the development of a multi-criteria decision-making methodology for integrating Chinese logistics operators into Russia's agricultural product transportation ecosystem. In the context of globalization and shifting international trade chains, the integration of national logistics systems into a unified digital infrastructure becomes strategically significant. Special attention is given to analyzing barriers related to differences in regulatory requirements, levels of digitalization, and political instability between the two countries. The study centers on COFCO Corporation, the largest Chinese distributor of agricultural products, and evaluates various integration strategies into the Russian logistics system us- ing Fuzzy Analytic Hierarchy Process Fuzzy AHP and Fuzzy TOPSIS methods. The application of these methods allows for the consideration of uncertainty and variability in decision-making, while also forming a flexible model capable of adapting to changes in the external environment. The proposed methodology is applicable for assessing optimal integration options in conditions of high geo-economic instability and technological compatibility. It holds practical value for enhancing operational efficiency, reducing costs, and improving the resilience of agricultural product supply chains.
logistics systems integration, China-Russia cooperation, logistics barriers, analytic hierarchy process, international trade, operational efficiency, agricultural products, logistics integration strategy, digital ecosystem, supply chains
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