MODEL OF FUNCTIONING LOGISTICS FOR SUPPLY OF SPECIALISED VEHICLES IN CONTAINERS FROM NORTH AMERICAN COMPANIES TO UKRAINE

Authors

  • O. Pavlenko Kharkiv National Automobile and Highway University
  • D. Muzylov State Biotechnological University, Kharkiv
  • Ye. Medvediev Volodymyr Dahl East Ukrainian National University

DOI:

https://doi.org/10.33042/2522-1809-2024-1-182-248-253

Keywords:

model, logistics, supply, vehicles, international transportation

Abstract

The article analyses the current state and prospects for developing logistics for supplying various types of cargo in international traffic to be transported in containers. It allowed us to formulate the purpose of the study in this development. This topic is relevant since the efficient organisation of containerised supply logistics can improve the functioning of transport systems. An effective way to reduce the cost of supplying a cargo unit is efficient resource use (railway stations, ports, warehouses, wagons, vehicles, containers). The study paid considerable attention to developing the relevant infrastructure, solving specific problems of efficient use of all types of resources, using digital technologies, and building reliable models of logistics supply systems. The article builds a structural model based on the principles of logistics interaction of possible participants in the supply process, representing the interaction of subsystems that significantly affect the quality of the relevant operations. We formed five schemes of interaction between logistics participants for supplying specialised vehicles in containers with the participation of automobile, railway, and sea transport and the relevant infrastructure. These schemes identify the main ports of departure in the United States (New York and Houston) and ports of destination in Europe (Klaipeda (Lithuania), Constanta (Romania)), and take into account the possibility of using road and rail transport resources in European countries and Ukraine. We developed a mathematical model of logistics functioning for the supply of specialised vehicles in containers from North American enterprises to Ukraine, which accounts for the specifics of sequential operations and the peculiarities of determining the performance indicators of each supply chain operation. The prospect of using these models is to build a simulation model of logistics for the supply of specialised vehicles in containers from North American companies to Ukraine, conduct simulations using a software environment, and determine the rational option under the established conditions.

Author Biographies

O. Pavlenko, Kharkiv National Automobile and Highway University

Candidate of Technical Sciences, Associate Professor, Associate Professor at the Department of Transport Technologies

D. Muzylov, State Biotechnological University, Kharkiv

Candidate of Technical Sciences, Associate Professor, Associate Professor at the Department of Transport Technologies and Logistics

Ye. Medvediev, Volodymyr Dahl East Ukrainian National University

Candidate of Technical Sciences, Associate Professor, Associate Professor at the Department of Railway, Road Transport and Lifting and Transport Machines

References

Galkin, A., Yemchenko, I., Lysa, S., Tarasiuk, M., Chortok, Yu., & Khvesyk, Yu. (2022). Exploring the relationships between demand attitudes and the supply amount in consumer-driven supply chain for FMCG. Acta Logistica, 9(1), 1−12. https://doi.org/10.22306/al.v9i1.260

Muzylyov, D., & Shramenko, N. (2020). Mathematical Model of Reverse Loading Advisability for Trucks Considering Idle Times. In I. Karabegović (Ed.), New Technologies, Development and Application III (pp. 612−620). Springer Nature. https://doi.org/10.1007/978-3-030-46817-0_71

Abbasi, S., Saboury, A., & Jabalameli, M. S. (2021). Reliable supply chain network design for 3PL providers using consolidation hubs under disruption risks considering product perishability: An application to a pharmaceutical distribution network. Computers & Industrial Engineering, 152, 107019. https://doi.org/10.1016/j.cie.2020.107019

Trojanowski, P., Trusz, A., & Stupin, B. (2022). Correlation Between Accidents on Selected Roads as Fundamental for Determining the Safety Level of Road Infrastructure. In V. Ivanov, J. Trojanowska, I. Pavlenko, E. Rauch, D. Peraković (Eds.), Advances in Design, Simulation and Manufacturing V (pp. 104−113). Springer Nature. https://doi.org/10.1007%2F978-3-031-06025-0_11

Medvediev, Ie., Lebid, I., & Bragin, M. (2017). Assessment of the weather and climate conditions impact on the organization and planning of transport support for wheat harvesting. ТЕKA. Commission of motorization and energetics in agriculture, 17(2), 45−54. https://agro.icm.edu.pl/agro/element/bwmeta1.element.agro-67cf4a4b-8cbd-40e3-af0f-f12567417054/c/Medvediev.pdf

Ersoy, P., & Tanyeri, M. (2021). Risk management tools in the road transportation industry with mediation and moderation analysis. LogForum, 17(4), 555−567. https://www.logforum.net/pdf/17_4_8_21.pdf

Malacina, I., & Teplov, R. (2022). Supply chain innovation research: A bibliometric network analysis and literature review. International Journal of Production Economics, 251, 108540. https://doi.org/10.1016/j.ijpe.2022.108540

Muzylov, D., & Shramenko, N. (2021). Determination of average truck cargo capacity during transportation of perishable agricultural cargo in supply chains. Ukrainian Journal of Applied Economics and Technology, 6(4), 280−286. https://doi.org/10.36887/2415-8453-2021-4-34 [in Ukrainian]

Wu, Y., & Zhang, Y. (2022). An integrated framework for blockchain-enabled supply chain trust management towards smart manufacturing. Advanced Engineering Informatics, 51, 101522. https://doi.org/10.1016/j.aei.2021.101522

Rahman, T., Paul, S. K., Shukla, N., Agarwal, R., & Taghikhah, F. (2022). Supply chain resilience initiatives and strategies: A systematic review. Computers & Industrial Engineering, 170, 108317. https://doi.org/10.1016/j.cie.2022.108317

Pavlenko, O., Muzylyov, D., Ivanov, V., Bartoszuk, M., & Jozwik, J. (2023). Management of the grain supply chain during the conflict period: case study Ukraine. Acta Logistica, 10(3), 393−402. https://doi.org/10.22306/al.v10i3.406

Sharifnia, S. M. E., Biyouki, S. A., Sawhney, R., & Hwangbo, H. (2021). Robust simulation optimization for supply chain problem under uncertainty via neural network metamodeling. Computers & Industrial Engineering, 162, 107693. https://doi.org/10.1016/j.cie.2021.107693

Bigliardi, B., Filippelli, S., Petroni, A., & Tagliente, L. (2022). The digitalization of supply chain: a review. Procedia Computer Science, 200, 1806−1815. https://doi.org/10.1016/j.procs.2022.01.381

Published

2024-04-05

How to Cite

Pavlenko, O., Muzylov, D., & Medvediev, Y. (2024). MODEL OF FUNCTIONING LOGISTICS FOR SUPPLY OF SPECIALISED VEHICLES IN CONTAINERS FROM NORTH AMERICAN COMPANIES TO UKRAINE. Municipal Economy of Cities, 1(182), 248–253. https://doi.org/10.33042/2522-1809-2024-1-182-248-253

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