Communications - Scientific Letters of the University of Zilina 2025, 27(4):B250-B260

Methodology for Assessing the Key Operational Efficiency Indicators for Removal and Shunting Operations of Shunting Locomotives

Gabit Bakyt ORCID...1, *, Aizhan Makhanova1, Murat Mussabekov1, Galymzhan Ashirbayev1 ORCID..., Malik Zhamankulov1, Kuantkhan Sarsenov2, Aisha Mussabekova3
1 Mukhametzhan Tynyshpayev ALT University, Almaty, Kazakhstan,
2 D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, Kazakhstan,
3 Management University, Almaty, Kazakhstan,

The problem dealt with in this article is the methodology of the key performance indicators (KPI) evaluation of shunting locomotives operation when performing hauling and shunting work. The main parameters affecting the efficiency of rolling stock operation are described, including performance, fuel efficiency and locomotive utilization rate. The algorithm of KPI calculation is proposed, based on the analysis of operational data and statistical methods is proposed. According to the analysis of the trend in cargo transportation over the past 3 years, the need to develop a methodology for evaluating the key performance indicators of shunting work is justified. A comparative analysis of various approaches to assessing the operational performance of locomotives is carried out, their advantages and disadvantages are revealed. Practical recommendations for improving the operational performance of rolling stock are described.

Keywords: shunting locomotive, operational efficiency, key indicators, railway transport, fuel efficiency
Grants and funding:

This research has been/was/is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP22688234).

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: March 10, 2025; Accepted: July 22, 2025; Prepublished online: September 8, 2025; Published: October 7, 2025  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Bakyt, G., Makhanova, A., Mussabekov, M., Ashirbayev, G., Zhamankulov, M., Sarsenov, K., & Mussabekova, A. (2025). Methodology for Assessing the Key Operational Efficiency Indicators for Removal and Shunting Operations of Shunting Locomotives. Communications - Scientific Letters of the University of Zilina27(4), B250-260
Download citation

References

  1. ZHANG, Y., LEI, D., LI, X., FU, Y. The analysis of shunting locomotives' operating efficiency based on Gray-Dea. Research Journal of Applied Sciences, Engineering and Technology [online]. 2013, 5(5), p. 1720-1725. ISSN 2040-7459, eISSN 2040-7467. Available from: https://doi.org/10.19026/rjaset.5.4927 Go to original source...
  2. ADLBRECHT, J.-A., HUTTLER, B., ZAZGORNIK, J., GRONALT, M. The train marshalling by a single shunting engine problem. Transportation Research Part C: Emerging Technologies [online]. 2015, 58(A), p. 56-72. ISSN 0968-090X, eISSN 1879-2359. Available from: https://doi.org/10.1016/j.trc.2015.07.006 Go to original source...
  3. KUZNETSOV, V., KARDAS-CINAL, E., GOLEBIOWSKI, P., LIUBARSKYI, B., GASANOV, M., RIABOV, I., KONDRATIEVA, L., OPALA, M. Method of selecting energy-efficient parameters of an electric asynchronous traction motor for diesel shunting locomotives - case study on the example of a locomotive series ChME3. Energies [online]. 2022, 15(1), 317. eISSN 1996-1073. Available from: https://doi.org/10.3390/en15010317 Go to original source...
  4. BOSI, T., BIGI, F., D'ARIANO, A., VITI, F., PINEDA-JARAMILLO, J. Optimal management of full train load services in the shunting yard: a comprehensive study on shunt-in shunt-out policies. Computers and Industrial Engineering [online]. 2024, 188, 109865. ISSN 0360-8352, eISSN 1879-0550. Available from: https://doi.org/10.1016/j.cie.2023.109865 Go to original source...
  5. MUSSABEKOV, M., BAKYT, G., OMIRBEK, A., BRUMERCIKOVA, E., BUKOVA, B. Shunting locomotives fuel and power resources decrease. MATEC Web of Conferences [online]. 2017, 134, 00041. eISSN 2261-236X. Available from: https://doi.org/10.1051/matecconf/201713400041 Go to original source...
  6. BOYSEN, N., EMDE, S., FLIEDNER, M. The basic train makeup problem in shunting yards. OR Spectrum [online]. 2016, 38, p. 207-233. ISSN 0171-6468, eISSN 1436-6304. Available from: https://doi.org/10.1007/s00291-015-0412-0 Go to original source...
  7. WANG, D., ZHAO, J., PENG, Q. Optimizing the loaded train combination problem at a heavy-haul marshalling station. Transportation Research Part E: Logistics and Transportation Review [online]. 2022, 162, 102717. ISSN 1366-5545, eISSN 1878-5794. Available from: https://doi.org/10.1016/j.tre.2022.102717 Go to original source...
  8. MURALI, P., ORDONEZ, F., M. DESSOUKY, M. Modeling strategies for effectively routing freight trains through complex networks. Transportation Research Part C: Emerging Technologies [online]. 2016, 70, p. 197-213. ISSN 0968-090X, eISSN 1879-2359. Available from: https://doi.org/10.1016/j.trc.2015.08.022 Go to original source...
  9. ABDULLAYEV, S., TOKMURZINA-KOBERNYAK, N., ASHIRBAYEV, G., BAKYT, G., IZBAIROVA, A. Simulation of spring-friction set of freight car truck, taking into account track profile. International Journal of Innovative Research and Scientific Studies [online]. 2024, 7(2), p. 755-763. eISSN 2617-6548. Available from: https://doi.org/10.53894/ijirss.v7i2.2883 Go to original source...
  10. CORMAN, F., MARRA, A., PACCIARELLI, D., SAMA, M. Integrating train scheduling and delay management in real-time railway traffic control. Transportation Research Part E: Logistics and Transportation Review [online]. 2017, 105, p. 213-239. ISSN 1366-5545, eISSN 1878-5794. Available from: https://doi.org/10.1016/j.tre.2016.04.007 Go to original source...
  11. REICHMANN, M., HIMMELBAUER, G. S., WAGNER, A., ZAJICEK, J., STADLMANN, B., WANCURA, H., FURIAN, N., VOSSNER, S. Introducing the concept of grades of automation for shunting operations. Journal of Rail Transport Planning and Management [online]. 2025, 33, 100500. ISSN 2210-9706, eISSN 2210-9714. Available from: https://doi.org/10.1016/j.jrtpm.2024.100500 Go to original source...
  12. KALEM, A., TADIC, S., KRSTIC, M., CABRIC, N., BRANKOVIC, N. Performance evaluation of railway infrastructure managers: a novel hybrid fuzzy MCDM model. Mathematics [online]. 2024, 12, 1590. eISSN 2227-7390. Available from: https://doi.org/10.3390/math12101590 Go to original source...
  13. ABDYKADYROV, A., MARXULY, S., BAIKENZHEYEVA, A., BAKYT, G., ABDULLAYEV, S., KUTTYBAYEVA, A. E. Research of the process of ozonation and sorption filtration of natural and anthropogenically polluted waters. Journal of Environmental Management and Tourism [online]. 2023, 14(3), p. 811-822. eISSN 2068-7729. Available from: https://doi.org/10.14505/jemt.v14.3(67).20 Go to original source...
  14. LYSENKO, N., KUZNETSOVA, A., KUZNETSOV, S. On the issue of efficiency of shunting diesel locomotives at cargo terminals. World of Transport and Transportation [online]. 2020, 18(1), p. 170-183. ISSN 1992-3252. Available from: https://doi.org/10.30932/1992-3252-2020-18-170-183 Go to original source...
  15. ABDULLAYEV S., BAKYT G., TOKTAMYSSOVA A., ASHIRBAYEV G., BAUBEKOV Y., IMASHEVA G. Determination of parameters of upper assembly of current collector when it interacts with contact suspension. Vibroengineering Procedia [online]. 2024, 54, p. 279-284. ISSN 2345-0533, eISSN 2538-8479. Available from: https://doi.org/10.21595/vp.2024.23917 Go to original source...
  16. WANG, D., ZHAO, J., PENG, Q. Optimizing the loaded train combination problem at a heavy-haul marshalling station. Transportation Research Part E: Logistics and Transportation Review [online]. 2022, 162, 102717. ISSN 1366-5545, eISSN 1878-5794. Available from: https://doi.org/10.1016/j.tre.2022.102717 Go to original source...
  17. JAEHN, F., RIEDER, J., WIEHL, A. Single-stage shunting minimizing weighted departure times. Omega [online]. 2015, 52, p. 133-141. ISSN 0305-0483, eISSN 1873-5274. Available from: https://doi.org/10.1016/j.omega.2014.11.001 Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.