Analytics of grain cargo transportation for export

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The paper examines analytical data on the transportation of grain cargo from the regions of Russia for export. The ranking of the largest importers of grain products was performed using the ABC method. Traditional sales markets were studied depending on the type of grain crops with a relatively stable volume and frequency of deliveries, as well as new sales markets with the prospect of further development. In the context of globalization of markets, the production and sale of goods undergo serious changes, as a result of which supply chains are also transformed. Being in the sphere of influence of external factors (imperfect legislation, volatility of international markets, competition, etc.), the network structure of supply chains, as an open system with feedback, reacts to the effects of the external environment. The more complex the existing system (the number of levels, the number of elements at each level, the nature of the relationships), the more sensitive the system is to external changes. A current example of the mobility of logistics processes is the emerging global trend towards localization of production and, consequently, a reduction in the horizontal structure of supply chains. The priority in building logistics systems is the efficiency of their functioning in situations of stochastic uncertainty. Forecasting can become a strategic tool in promoting the grain business. Its quality and reliability are key factors for success in the market. The authors analyze the dynamics of grain cargo exports, noting that in connection with the opening of new routes on the international transport corridor "North-South" and sublatitudinal railway lines, it seems appropriate to consider alternative supply chains for grain cargoes excluding transit by sea. A forecast of the expected volumes of grain cargo supplies along the routes through the corridor North-South has been made.

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Grain cargoes, importing countries, abc analysis, international transport corridor, forecasting, supply chains

Короткий адрес: https://sciup.org/140306142

IDR: 140306142   |   DOI: 10.36718/2500-1825-2024-3-54-61

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