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Currently, focus on dry ports in the People's Republic of China (PRC) is growing, and therefore, the number of dry ports in the country is actively increasing. Due to the multifunctionality of dry ports, they meet the modern requirements of China's transport policy, which prioritizes improving the quality of providing transportation services by providing general access to value-added and high-quality services. The purpose of the PRC's transport system is also to facilitate the movement of freight flows within the State's territory, due to a faster modal shift, increased accessibility of transport, development of auxiliary functions, and construction of integrated transport hubs. Dry ports deal with the mentioned tasks; however, with the increase in the number of dry ports in the PRC, the issue of optimizing the interaction between dry ports has become urgent. The purpose of this research is to scientifically substantiate the need for strengthening technological cooperation between dry ports. The problem of determining the optimal structure of the system of interaction of dry ports was solved using the method of discreteevent simulation and the anyLogistix software tool. The results of assessment of the economic efficiency of the interaction between dry ports are presented. The results of experiments with a model of China’s dry port system showed the possibility of increasing the total profit of participants of the supply chain by 2.3 times and their profitability by 2.6 times, reducing the cost of container transportation by 1.3 times, and fully meeting the demand for transportation. It has been proven that the cooperation of dry ports in supply chains provides enhanced opportunities for processing cargo flows, as a result of the redirection of cargo consignments from overloaded dry ports to dry ports with reserves ith processing capacity. A methodology for optimizing the structure of the system of interaction of dry ports is presented. The methodology is proposed for use as a tool for strategic and current planning of supply chains.
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