Asosiy navigatsiya menyusiga o'tish Asosiy kontentga o'tish Sayt quyi qismiga (futer) o'tish

TEMIR YOʻL TRANSPORTI KORXONALARIDA ISHLAB CHIQARISH SAMARADORLIGINI BAHOLASHDA KPI TIZIMINI QOʻLLA SH

Tashkilot
Toshkent davlat transport universiteti “Tabiiy fanlar” kafedrasi assistenti

Annotatsiya

Ushbu tadqiqot temir yoʻl transporti korxonalarida asosiy samaradorlik koʻrsatkichlari (KPI) tizimini joriy etishning ishlab chiqarish samaradorligiga taʼsirini oʻrganilgan. Tadqiqot doirasida KPI tizimining nazariy asoslari, uning temir yoʻl sohasidagi qo ʻllanilishi hamda operatsion samaradorlikni oshirishdagi roli tahlil qilingan. Maʼlumotlarni tahlil qilish usuli (DEA) va umumiy uskunalar samaradorligi (OEE) metodologiyasi asosida empirik tahlil oʻtkazilgan. Tadqiqotda temir yoʻl transporti korxonalari u chun KPI tizimini joriy etish boʻyicha amaliy tavsiyalar berilgan.

Kalit so'zlar

KPI, temir yoʻl transporti, ishlab chiqarish samaradorligi, maʼlumotlarni tahlil qilish usuli (DEA), umumiy uskunalar samaradorligi (OEE), operatsion koʻrsatkichlar, harakatlanuvchi tarkib, benchmarking


Adabiyotlar ro'yxati

  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 ,

Yuklab olishlar

Yuklab olish ma’lumotlari hali mavjud emas.