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Determining the size of the motor vehicle reserve fleet

https://doi.org/10.26518/2071-7296-2025-22-4-630-642

EDN: VPBWHB

Abstract

Introduction. The balanced (sustainable) development of road transport, coordinated with other elements of urban infrastructure, the correspondence of transport demand and supply, the formation and implementation of effective strategies for the development of public road transport is the most important modern problem. Within the framework of this direction, one of the urgent unsolved tasks so far is to determine the number of reserve fleet of the rolling stock for reliable transport services. In practice, the shortage of rolling stock is often the reason for the low coordination of the logistics process, disruptions in the work of road carriers, fines for non-performance of the contractual obligations to the customer and for violations of the law.
Materials and methods. To ensure the necessary reliability of the transport system, it is necessary to determine the required level of rolling stock reserve. The work presents a method for solving the stated problem, based on the apparatus of the theory of probability and mathematical statistics. The methodology allows calculating the safety size of the rolling stock reserve, which ensures the specified reliability of the transport system, which is established taking into account factors determined by the specific conditions of the transportation process.
Discussion and conclusion. The practical effectiveness of the proposed method is shown by the example of solving the problem for the conditions of a real transport organization. The technique has been successfully tested and is currently being applied in practice.

About the Authors

A. I. Fadeev
Siberian Federal University
Russian Federation

Alexander I. Fadeev – Dr. of Sci (Eng.), Professor, Transport Department

26, Academician Kirenskiy Street, Krasnoyarsk, 660074

Scopus ID: 57208356151



A. M. Ilyankov
Siberian Federal University
Russian Federation

Alexey M. Ilyankov – Postgraduate student, Transport Department

26, Academician Kirenskiy Street, Krasnoyarsk, 660074



References

1. Fadeev A.I., Fomin E.V. Determination of the optimal structure of urban public transport rolling stock taking into account mutual influence of routes. Proceedings of Irkutsk State Technical University» (Vestnik Irkutskogo gosudarstvennogo tehnicheskogo universiteta. 2018; 8 (139); 189–198. (in Russ.)

2. Dryuchin D.A., Konovalova T.V., Lebedev E.A., Nadirryan S.L., Rassokha V.I. Optimization of the number of vehicles serving regular routes of urban agglomerations: monograph ; FGBOU HE «Orenburg State University»; FGBOU HE «Kuban State Technological University». Krasnodar: Publishing House – Yug 2024; 178. (In Russ.)

3. Zaharov N.S., Rakitin V.A. The methodology of forming a fleet of trucks of a motor transport company depending on the purpose of technical and operational indicators of vehicles. Inzhenernyj vestnik Dona [Ingineering Journal of Don]. 2015; Vol. 3: 174–188. (In Russ.)

4. Kozin Ye.S., Zakharov N.S., Panfilov A.A., Vokhmin D.M. Decision support systems for transportation. Tyumen: Industrial University of Tyumen; 2023: 170. ISBN 978-5-9961-3106-8. EDN BZSJIL (In Russ.)

5. Rassokha V.I., Dryuchin D.A., Nadiryan S.L. Optimization of the structure of the fleet of trackless vehicles serving urban passenger routes based on the results of mathematical modeling. International Journal of Advanced Studies. 2023; 13, no. 3: 180–202. DOI: https://doi.org/10.12731/2227-930X-2023-13-3-180-202

6. Rakitin V.A. Development of a technique forming a rational structure of the truck fleet. Modern problems of science and education. 2015; 1-1: 149–157. (in Russ.)

7. Kurganov V.M., Griaznov M.V. How to Increase Technical Availability Rate for Vehicle Fleet? World of Transport and Transportation Journal. 2011; Vol. 36, No 3: 106–117. (in Russ.)

8. Kurganov V.M., Gryaznov M.V., Kolobanov S.V. Assessment of operational reliability of quarry excavator-dump truck complexes // Journal of Mining Institute. 2020; Vol. 241: 10–21. DOI: https://doi.org/10.31897/PMI.2020.1.10. EDN EUEOIJ.

9. Kiryushin I.N. To the question of examining the relationship of the coefficient of technical readiness of vehicles operating cycle. Herald of Ryazan State Agrotechnological University Named after P.A. Kostychev. 2019; 2(42): 112–116. (in Russ.)

10. Raposo Hugo & Farinha, José & Ferreira, L.A.A. & Galar, Diego. Dimensioning reserve bus fleet using life cycle cost models and condition based/predictive maintenance: a case study. Public Transport. 2018; 10. 10.1007/s12469-017-0167-x.

11. Raposo Hugo & Farinha, José & Ferreira, Luis & Galar, Diego. Reserve fleet indexed to exogenous cost variables. Transport. 2019; 34. 437–454. 10.3846/transport.2019.11079.

12. Raposo H. Farinha J. T. Ferreira L. and Galar D. An integrated econometric model for bus replacement and determination of reserve fleet size based on predictivemaintenance. Eksploatacja i Niezawodnoґsґc. 2017; vol. 19, no. 3: 358–368, 2017. (in Russ.)

13. Ivanov A.Yu., Panov S.A. Models of Rolling Stock Reservation in Transportation Logistics Systems. Economics and mathematical methods. 2013; V. 49. Vol. no 2: 87–96. (in Russ.)

14. Dorofeev A.N. Kurganov V. M., Kohli A. A. Assessment of the reliability of an automobile carrier in a digital transport platform.The world of transport and technological machines. 2024; 2-2(85): 115–122. DOI: https://doi.org/10.33979/2073-7432-2024-2-2(85)-115-122. EDN IZUSNX.

15. Guedes P.C. and Borenstein D. “Real-timemulti-depot vehicle type rescheduling problem. Transportation Research Part B: Methodological.2018; vol. 108: 217–234, 2018.

16. Raposo Hugo & Farinha, José & de-Almeidae-Pais, J. Edmundo & Galar, Diego. An Integrated Model for Dimensioning the Reserve Fleet based on the Maintenance Policy. Wseas transactions on systems and control. 2021; 16: 43–65. 10.37394/23203.2021.16.3.

17. Myronenko V, Samsonkin V, Rudkovskyi S. Mathematical Model of Rationale for Reserve Fleet of Vehicles with Uneven Demand for Transportation. American Journal of Engineering Research (AJER). 2018; Volume-5, Issue-5: 238–244.

18. Hou Bowen & Zhao, Shuzhi & Liu, Huasheng & Li, Jin. Optimization Model for Reserve Fleet Sizes in Traditional Transit Systems considering the Risk of Vehicle Breakdowns. Mathematical Problems in Engineering. 2018. 1–10. 10.1155/2018/1609238.

19. Kovtsur E. Reservation of transporting capacities of freight transport fleet due to the quantitative increase of fleet freight capacity. Eastern-European Journal of Enterprise Technologies. 2014; 5. 29. 10.15587/1729-4061.2014.27630.

20. Klosterhalfen, Steffen & Kallrath, Josef & Fischer, Gerd. Rail car fleet design: Optimization of structure and size. International Journal of Production Economics. 2013; 157. 10.1016/j.ijpe.2013.05.008.

21. Menukhova T.A. Unification of the concepts “Coefficient of technical readiness”, “Coefficient of output” and “Coefficient of vehicle utilization” taking into account the application of new time indicators. Transport Business of Russia. 2013: 89–94. (in Russ.)

22. Dolgov A. P. Stock Theory and Logistics Management: Methodology of System Integration and Effective Decision Making. St. Petersburg: Izd-vo SPb-GUEF, 2004: 272. (in Russ.)

23. Barros, Júlio & Cortez, Paulo & Carvalho, M. A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process. Operations Research Perspectives. 2021; 8. 100192. 10.1016/j.orp.2021.100192.

24. Skochinskaya V.A. Methods for calculation of reserve stock volume taking into account significance of material resources. Science & Technique. 2007; (5): 52–57. (In Russ.)

25. Skovoroda E.V. A methodical approach to designing a strategy for managing production stocks at industrial enterprises. Proceedings of BSTU. Series 5: Economics and Management. 2017; 2(202): 104–108. EDN LAEPIP (In Russ.)


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For citations:


Fadeev A.I., Ilyankov A.M. Determining the size of the motor vehicle reserve fleet. The Russian Automobile and Highway Industry Journal. 2025;22(4):630-642. (In Russ.) https://doi.org/10.26518/2071-7296-2025-22-4-630-642. EDN: VPBWHB

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ISSN 2071-7296 (Print)
ISSN 2658-5626 (Online)