Abstract
The paper aims to carry out the mathematical modeling of the goods delivery process from China to Ukraine, using possible organization options of such work and advantages of existing routes using different kinds of transport. The paper presented successful mathematical modeling of goods delivery from China to Ukraine to determine effective options. The structure of goods delivery from China to Ukraine has been designed in the form of four alternative routes (options), which considering the use of railway, maritime, road and air transport, and related infrastructure (stations, ports, warehouses, terminals, customs). It has been found that values of order delivery volumes of the corresponding type of goods based on parameter analysis of orders flow for trade enterprises of Kharkiv, cargo transportation volume in the current batch, risk assessment factor using related kinds of transport, and goods delivery time for each option. As an experiment result, enterprises' profit was obtained using initial and final values of the unit of the good according to proposed options. It was taken into account in regression model designing, which allowed determining the best route of transportation.
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Acknowledgments
This paper has been written with the support of the H2020 project “A Policy Tool Kit for the Promotion of Intercultural Competence and Diversity Beliefs, Reduction of Discrimination and Integration of Migrants into the Labor Market”, acronym FairFuture, Nr. 870307.
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Pavlenko, O., Muzylyov, D., Shramenko, N., Cagáňová, D., Ivanov, V. (2023). Mathematical Modeling as a Tool for Selecting a Rational Logistical Route in Multimodal Transport Systems. In: Cagáňová, D., Horňáková, N. (eds) Industry 4.0 Challenges in Smart Cities. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-92968-8_2
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