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No. 12 (2025)
Marketing

Articles

USING THE KPI SYSTEM IN ASSESSING PRODUCTION EFFICIENCY IN RAILWAY TRANSPORT ENTERPRISES

Published 2025-12-25

Authors
Mahmudova Dilafruz Hasanovna
Affiliation
Assistant of the Department of "Natural Sciences" of the Tashkent State Transport University
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Abstract

This study examines the impact of implementing a Key Performance Indicators (KPI) system on the production efficiency of railway transport enterprises. The theoretical foundations of the KPI system, its application in the railway sector, and its role in en hancing operational efficiency are analyzed. An empirical analysis was conducted based on the Data Envelopment Analysis (DEA) method and the Overall Equipment Effectiveness (OEE) methodology. The study provides practical recommendations for implementing a KPI system for railway transport companies.

Keywords

KPI, railway transport, production efficiency, Data Envelopment Analysis (DEA), Overall Equipment Effectiveness (OEE), operational indicators, rolling stock, benchmarking. № 1 291

References

  1. Environmental and Safety Performance of European Railways: An Integrated Efficiency Assessment. Algorithms, 2025, 19(1), 10. DOI: 10.3390/a19010010. URL: https://www.mdpi.com/1999 -4893/19/1/10
  2. Efficiency of railway transport: A comparative analysis for 16 countries. Transport Policy, 2023, Vol. 139, pp. 15 -29. DOI: 10.1016/j.tranpol.2023.05.017. URL: https://www.sciencedirect.com/science/article/abs/pii/S0967070X23001816
  3. Parmenter, D. (2015). Key Performance Indicators: Developing, Implementing, and Using Winning KPIs. 3rd Edition. John Wiley & Sons, Hoboken, NJ.
  4. European Commission. Platform of Rail Infrastructure Managers in Europe (PRIME). Brussels, 2023. URL: https://webgate.ec.europa.eu/multisite/primeinfrastructure/
  5. Kaplan, R.S., & Norton, D.P. (1992). The Balanced Scorecard – Measures That Drive Performance. Harvard Business Review, 70(1), pp. 71 -79.
  6. Stenstrom, C., Parida, A., Kumar, U., & Galar, D. (2012). Performance Indicators of Railway Infrastructure. International Journal of Railway Technology, 1(3), pp. 1 -18. DOI: 10.4203/ijrt.1.3.1. URL: https://www.researchgate.net/publication/289990789
  7. European Committee for Standardization. (2007). EN 15341:2007 Maintenance – Maintenance Key Performance Indicators. CEN, Brussels.
  8. Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), pp. 429 -444. DOI: 10.1016/0377 -2217(78)90138 -8
  9. Djordjevic, B., Mane, A.S., & Krmac, E. (2021). Analysis of dependency and importance of key indicators for railway sustainability monitoring: A new integrated approach with DEA and Pearson correlation. Research in Transportation Business & Management, 41, 100650. DOI: 10.1016/j.rtbm.2021.100650. URL: https://www.sciencedirect.com/science/article/pii/S221053952100033X
  10. Mahboob, Q., Stoiber, T., Gottstein, S., & Tsakarestos, A. (2012). An Approach to Calculate Overall Efficiency of Rolling Stock for an Urban Rail Transit System. Journal of Public Transportation, 15(1), pp. 19 -32. DOI: 10.5038/2375 -
  11. 1.2. URL: https://digitalcommons.usf.edu/jpt/vol15/iss1/2/
  12. Mahboob, Q., Aalam, M.A., Tahir, S., Wang, Z., Mao, Q., & Tan, Z. (2024). Incorporating KPIs in the Quantification of Overall Efficiency of Rolling Stock of Railways. Engineering Proceedings, 75(1), 14. DOI: 10.3390/engproc2024075014. URL: https://www.mdpi.com/2673 -4591/75/1/14
  13. Indian Railways Achieves Over 90% Punctuality Despite Heavy Passenger Demand. Ministry of Railways, Government of India, March 2025. URL: № 1 2-SON DEKABR, 2025 -YIL https://www.angelone.in/news/market -updates/indian -railways -achieves -over-90- percent -punctuality
  14. OEE.com. What is OEE (Overall Equipment Effectiveness)? World -class OEE benchmark. URL: https://www.oee.com/
  15. Ståhlberg, A., Djordjević, B., Krmac, E., Mane, A., & Kornejad, B. (2024). Efficient use of European rail freight corridors: current status and potential enablers. Transportation Planning and Technology, 47(1), pp. 1 -24. DOI:
  16. 1080/03081060.2023.2294344. URL: https://www.tandfonline.com/doi/abs/10.1080/03081060.2023.2294344
  17. Benchmarking Analysis of Railway Infrastructure Managers: A Hybrid Principal Component Analysis (PCA), Grey Best -Worst Method (G -BWM), and Assurance Region Data Envelopment Analysis (AR -DEA) Model. Mathematics, 2025, 13(5), 830. DOI: 10.3390/math13050830. URL: https://www.mdpi.com/2227 - 7390/13/5/830 № 1 2-SON DEKABR, 2025 -YIL ,

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