Construction of a simulation model of the work of a transport and forwarding enterprise in organizing multimodal cargo transportation

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.316568

Keywords:

freight forwarder service, multimodal transportation, simulation model, freight forwarder, customs regime

Abstract

The object of this study is the process of rendering transport and forwarding services when organizing multimodal cargo transportation in international traffic.

The task to tackle was predetermined by the need to devise recommendations for choosing the optimal cargo transportation route, taking into account the individual requirements of the customer and performance indicators of the forwarders at the transport and forwarding company.

A simulation model of the work of a transport and forwarding company in the organization of multimodal transportation of goods was built and implemented in the GPSS World simulation automation software. The model involves the optimization of the duration of service provision and makes it possible to determine the required number of transportation department specialists to enable effective cooperation with customers.

When constructing the model, the duration of business processes in the organization of multimodal transportation was taken into account. In addition, the model accounts for the probability of errors and service delays, as well as the average delay time when errors occur, which will make it possible to take into account the additional work time of the forwarder to eliminate them.

The application of the built model in practice will allow specialists at transport and forwarding companies to organize multimodal transportation according to several alternative routes that meet the individual needs of the customer. It will also make it possible to determine the optimal number of forwarders needed to work at the multimodal transportation department.

In this case, the duration of rendering transport and forwarding services will be reduced by 12–16 %, the waiting time in queues for service will decrease by 9–13 %, and the efficiency of the work of specialists at the multimodal transportation department will increase by 9–14 %

Author Biographies

Ievgenii Lebid, National Transport University

PhD, Associate Professor

Department of Transport Law and Logistics

Nataliia Luzhanska, National Transport University

PhD, Associate Professor

Department of International Transportation and Customs Control

Iryna Lebid, National Transport University

PhD, Professor

Department of International Transportation and Customs Control

Alexander Mazurenko, Ukrainian State University of Science and Technologies

PhD, Associate Professor

Department of Transport Units

Maksym Roi, National Transport University

PhD

Department of International Transportation and Customs Control

Iryna Mykhailenko, Kharkiv National Automobile and Highway University

PhD

Department of Higher Mathematics

Lidiia Yelnikova, Ukrainian State University of Science and Technologies

PhD

Department of Transport Units

Oleksii Tihov, Ukrainian State University of Science and Technologies

PhD Student

Department of Transport Units

References

  1. Mnatsakanian, M., Shalina, K. (2022). Organizational and technological problems of intelligent interaction of road and sea transport. Scientific Journal of Polonia University, 54 (5), 170–182. https://doi.org/10.23856/5422
  2. Zhao, Y., Ioannou, P. A Dessouky, M. M. (2019). Dynamic Multimodal Freight Routing Using a Co-Simulation Optimization Approach. IEEE Transactions on Intelligent Transportation Systems, 20 (7), 2657–2667. https://doi.org/10.1109/tits.2018.2871946
  3. Kostiennikov, O. M., Rudovol, P. S. (2017). Pidvyshchennia efektyvnosti orhanizatsiyi multymodalnykh perevezen za rakhunok koordynatsiyi ta kontroliu perevezennia vantazhu. Visnyk ekonomiky transportu i promyslovosti, 58, 95–97. Available at: http://nbuv.gov.ua/UJRN/Vetp_2017_58__53
  4. Furuichi, M. (2021). Cross-border logistics practices, policies, and its impact. Global Logistics Network Modelling and Policy, 47–69. https://doi.org/10.1016/b978-0-12-814060-4.00003-4
  5. Sokolova, O., Soloviova, O., Borets, I., Vysotska, I. (2021). Development of conceptual provisions to effectively manage the activities of a multimodal transport operator. Eastern-European Journal of Enterprise Technologies, 1 (3 (109)), 38–50. https://doi.org/10.15587/1729-4061.2021.225522
  6. Kubasakova, I., Senko, S. (2020). Simulation of Goods Transport. Research and the Future of Telematics, 296–305. https://doi.org/10.1007/978-3-030-59270-7_22
  7. Migawa, K., Sołtysiak, A., Czyżewska, M. (2019). Method of assessment of the transport system functioning with the application of the simulation model of the operating process. MATEC Web of Conferences, 302, 01016. https://doi.org/10.1051/matecconf/201930201016
  8. Layeb, S. B., Jaoua, A., Jbira, A., Makhlouf, Y. (2018). A simulation-optimization approach for scheduling in stochastic freight transportation. Computers & Industrial Engineering, 126, 99–110. https://doi.org/10.1016/j.cie.2018.09.021
  9. Zhao, J., Zhu, X., Wang, L. (2020). Study on Scheme of Outbound Railway Container Organization in Rail-Water Intermodal Transportation. Sustainability, 12 (4), 1519. https://doi.org/10.3390/su12041519
  10. Hao, C., Yue, Y. (2016). Optimization on Combination of Transport Routes and Modes on Dynamic Programming for a Container Multimodal Transport System. Procedia Engineering, 137, 382–390. https://doi.org/10.1016/j.proeng.2016.01.272
  11. Nahornyi, Ye., Shramenko, N., Оrda, A. (2017). Mathematical model of choosing the rational behavior strategies of forwarding service companies when interacting with subjects of transport market on cooperation conditions. Automobile Transport, 40, 12–19. https://doi.org/10.30977/at.2219-8342.2017.40.0.12
  12. Popa, C. (2022). The analysis of freight forwarding services using the business process modelling tools. Scientific Bulletin of Naval Academy, XXV (2), 110–116. https://doi.org/10.21279/1454-864x-22-i2-011
  13. Lebid, I., Luzhanska, N., Lebid, I., Mazurenko, A., Roi, M., Medvediev, I. et al. (2023). Development of a simulation model of the activities of a transport and forwarding enterprise in the organization of international road cargo transportation. Eastern-European Journal of Enterprise Technologies, 6 (3 (126)), 6–17. https://doi.org/10.15587/1729-4061.2023.291039
  14. Lebid, I., Luzhanska, N., Lebid, I., Mazurenko, A., Halona, I., Kovtsur, K. et al. (2024). Selecting a transport and forwarding company for meeting a customer’s needs when organizing international road cargo transportation. Eastern-European Journal of Enterprise Technologies, 3 (3 (129)), 55–66. https://doi.org/10.15587/1729-4061.2024.305238
  15. GPSS World Reference Manual (2001). Minuteman Software. Holly Springs NC, 305.
Construction of a simulation model of the work of a transport and forwarding enterprise in organizing multimodal cargo transportation

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Published

2024-12-24

How to Cite

Lebid, I., Luzhanska, N., Lebid, I., Mazurenko, A., Roi, M., Mykhailenko, I., Yelnikova, L., & Tihov, O. (2024). Construction of a simulation model of the work of a transport and forwarding enterprise in organizing multimodal cargo transportation. Eastern-European Journal of Enterprise Technologies, 6(3 (132), 6–16. https://doi.org/10.15587/1729-4061.2024.316568

Issue

Section

Control processes