Abstract
The report describes key problems in carrying out of the vital goods deliveries to remote Arctic territories (so-called “Northern Delivery”) and the potential for increasing the efficiency of measures aimed at delivery of the vital goods, food and oil products to local residents using system solutions, local measures and modern digital technologies. The authors propose a new tool – the digital twin of Northern Delivery, and approaches to increase the efficiency of the range of measures for organization of northern deliveries. It can help to make the deliveries more systematic, transparent and predictable, reducing the risk of failures. The main features of the digital twin database being formed are a low speed of data information using classical information request procedures, a complex structure of data obtained from the regions despite the existence of standardized forms, discrepancies in statistics and different understanding of northern deliveries in different regions. The system was tested in the Sakha (Yakutia) region. As a result of the application of the system, routes were changed and, according to a stakeholder’s survey, the accuracy of supply forecasting increased and there were no delays. The process of distributing the developed digital twin to 25 regions of the country has started.
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Igorevna, N.M., Evgenievich, K.M. (2023). The Digital Twin for Monitoring of Cargo Deliveries to the Arctic Territories. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-031-16075-2_24
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DOI: https://doi.org/10.1007/978-3-031-16075-2_24
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