Improving transport logistics of extractive industry products in the context of capacity constraints on the railways
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- Category: Content №6 2022
- Last Updated on 25 December 2022
- Published on 30 November -0001
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Authors:
K.Aldanazarov, orcid.org/0000-0003-4157-1507, Academy of Logistics and Transport, Almaty, the Republic of Kazakhstan, -mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A.Toktamyssova, orcid.org/0000-0002-9434-7413, Academy of Logistics and Transport, Almaty, the Republic of Kazakhstan, e-mail: Aliya_311 @mail.ru
Y.Karsybayev, orcid.org/0000-0001-7942-716X, Civil Aviation Academy, Almaty, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
R.Korobiova, orcid.org/0000-0002-6424-1079, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
D.Kozachenko*, orcid.org/0000-0003-2611-1350, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2022, (6): 129 - 134
https://doi.org/10.33271/nvngu/2022-6/129
Abstract:
Purpose. To improve the distribution methods of freight flows on the railway network under conditions of capacity constraints.
Methodology. Methods of railway operation theory and operations research were used. The problem of cargo flow distribution on the railway network was solved as a multi-product (interchangeable cargoes) transport linear programming problem with capacity constraints in the network form. The average cost of freight transportation is established by the methods of probability theory.
Findings. In the course of the research the methods of cargo traffic calculation on the railway network are improved. The proposed approach to the formalisation of the task makes it possible to take into account the presence of different cargoes to be transported, capacity constraints of some railway network sections, as well as non-linear nature of dependence between the volume and cost of transportation. To meet the requirement of consignors equal access to public carrier services, the method for calculating the cost of transportation for an individual consignor is improved.
Originality. Scientific novelty of the paper consists in improvement of methods of cargo traffic distribution on the railway network and tariffing of cargo transportation services in conditions of restricted supply capacity of separate sections.
Practical value. The extractive industries have a steady flow of goods. The main logistic tasks in this case are to ensure transportation of the given volume of cargo and reduce the cost of transport services. Using the proposed mathematical methods of optimization allows you to get higher-quality solutions compared to the method of technical-economic comparison of options, which provides an overall cost reduction for cargo transportation. The improved method of tariffication of transportation can reasonably allocate the savings from reducing the cost of transportation among cargo consignors and thus reduce their logistics costs.
Keywords: railway transport, cargo transportation, transportation planning, transportation problem
References.
1. Zabolotny, K., Zinovyev, S., Zupiev, A., & Panchenko, E. (2015). Rationale for the parameters equipment for rope dehydration of mining hoisting installations. New Developments in Mining Engineering 2015: Theoretical and Practical Solutions of Mineral Resources Mining, 275-281.
2. Dychkovskyi, R., Tabachenko, M., Zhadiaieva, K., Dyczko, A., & Cabana, E. (2021). Gas hydrates technologies in the joint concept of geoenergy usage. E3S Web of Conferences, 230, 01023. https://doi.org/10.1051/e3sconf/202123001023.
3. Samorodov, V., Bondarenko, A., Taran, I., & Klymenko, I. (2020). Power flows in a hydrostatic-mechanical transmission of a mining locomotive during the braking process. Transport Problems, 15(3), 17-28. https://doi.org/10.21307/tp-2020-030.
4. Taran, I.A., & Klimenko, I.Yu. (2014). Transfer ratio of double-split transmissions in case of planetary gear input. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (6), 60-66.
5. Zabolotnyi, K. (2017). Development of a model of contact shoe brake-drum interaction in the context of a mine hoisting machine. Mining of Mineral Deposits, 11(4), 38-45.
6. Zhuravel, O., Derbaba, V., Protsiv, V., & Patsera, S. (2019). Interrelation between shearing angles of external and internal friction during chip formation. Solid State Phenomena, 291, 193-203. Retrieved from https://www.scientific.net/SSP.291.193.
7. Naumov, V., Zhamanbayev, B., Agabekova, D., Zhanbirov, Z., & Taran, I. (2021). Fuzzy-logic approach to estimate the passengers preference when choosing a bus line within the public transport system. Communications Scientific Letters of the University of ilina, 23(3), A150-A157. https://doi.org/10.26552/com.C.2021.3.A150-A157.
8. Taran, I., & Klymenko, I. (2017). Analysis of hydrostatic mechanical transmission efficiency in the process of wheeled vehicle braking. Transport Problems, 12(Special Edition), 45-56. https://doi.org/10.20858/tp. 12. se.4.
9. Pouryousef, H., Lautala, P., & White, T. (2015). Railroad capacity tools and methodologies in the U.S. and Europe. Journal of Modern Transportation, 23, 30-42. https://doi.org/10.1007/s40534-015-0069-z.
10. Weik, N., Warg, J., Johansson, I., Bohlin, M., & Nieben, N. (2020). Extending UIC 406-based capacity analysis New approaches for railway nodes and network effects. Journal of Rail Transport Planning & Management, 15, 100199. https://doi.org/10.1016/j.jrtpm.2020.100199.
11. Armstrong, J., & Preston, J. (2017). Capacity utilisation and performance at railway stations. Journal of Rail Transport Planning & Management, 7(3), 187-205. https://doi.org/10.1016/j.jrtpm.2017.08.003.
12. Arani, A.A.M., Jolai, F., & Nasiri, M.M. (2019). A multi-commodity network flow model for railway capacity optimization in case of line blockage. International Journal of Rail Transportation, 7(4), 297-320. https://doi.org/10.1080/23248378.2019.1571450.
13. Dick, C.T., Mussanov, D., & Nishio, N. (2019). Transitioning from Flexible to Structured Heavy Haul Operations to Expand the Capacity of Single-Track Shared Corridors in North America. Journal of Rail and Rapid Transit, 233(6), 629-639. https://doi.org/10.1177/0954409718804427.
14. Bobrovskyi, V.., Korobyova, R.G., & Balanov, V.. (2019). Simualtion model for evaluating the carrying capacity of railways. Science and Transport Progress, 6(78), 16-27. https://doi.org/10.15802/stp2018/154819.
15. Burakova, A.V., & Ivankova, L.N. (2017). Complex reconstruction of single track lines in connection with increase in volume of transportations Science and Technology. Transport, 4, 11-14. Retrieved from https://elibrary.ru/item.asp?id=32252925.
16. Besinovic, N., & Goverde, R.M.P. (2018). Capacity assessment in railway networks. Handbook of Optimization in the Railway Industry, 25-45. Springer International Publishing.
17. Kozachenko, D., Skalozub, V., Gera, B., Hermaniuk, Yu., Korobiova, R., & Gorbova, A. (2019). A model of transit freight distribution on a railway network. Transport Problems, 14(3), 17-26. https://doi.org/10.20858/tp.2019.14.3.2.
18. Kozachenko, D., Vernigora, R., Kuznetsov, V., Lohvinova, N., Rustamov, R., & Papahov, A. (2018). Resource-Saving Technologies of Railway Transportation of Grain Freights for Export. Archives of Transport, 45(1), 63-74. https://doi.org/10.5604/01.3001.0012.0944.
19. Zitricky, V., Cerna, L., & Abramovic, B. (2017). The Proposal for the Allocation of Capacity for International Railway Transport. Procedia Engineering, 192, 994-999. https://doi.org/10.1016/j.proeng.2017.06.171.
20. Naumov, V. (2012). Definition of the optimal strategies of transportation market participators. Transport Problems, 7(1), 43-52.
21. Naumov, V., Taran, I., Litvinova, Z., & Bauer, M. (2020). Optimizing resources of multimodal transport terminal for material flow service. Sustainability (Switzerland), 12(16), 6545. https://doi.org/10.3390/su12166545.
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