Reducing Storage Costs and Downtime in Railways Through Spare Parts Redistribution and MCDA-Based Optimization
Source abstract
Abstract
The article discusses the issue of improving the management efficiency of spare parts at railway stations to reduce operational costs and enhance the effectiveness of rolling stock maintenance. A comparative analysis was conducted between traditional inventory storage strategies and models involving the redistribution of surplus spare parts between stations. For the quantitative assessment of the proposed approach, a mathematical model based on a multi-criteria decision analysis (MCDA) methodology was developed that includes the calculation of storage, transportation, and redistribution costs. The results show that redistributing spare parts reduces storage costs by 25%, while implementing the proposed strategy shortens the average downtime of railway wagons by 12.5%, confirming its economic feasibility. Moderate savings were achieved at the Zharyk and Zhanaaul stations, where excessive stockpiling of spare parts was reduced, and the main logistics hub—Karaganda Sortirovochnaya—helped minimize the risk of downtime. At the same time, the analysis revealed certain limitations, such as increased transportation costs and reduced network stability when redistribution volumes are high. The practical implications of the study lie in the potential implementation of the developed inventory management improvement model, not only for railway transport but also for other industries such as aviation and automotive logistics. Spare parts redistribution reduces the financial losses associated with frozen capital, increases the capital turnover, and decreases the risk of depreciation of stored components. The proposed approach ensures a more balanced distribution of resources between stations, facilitating an increase in the profitability of railway enterprises.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Forecasting Techniques and Applications · Transport and Logistics Innovations · Railway Systems and Energy Efficiency
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Transport Engineering and Logistic Systems, Abylkas Saginov Karaganda Technical University (NPJSC), Karaganda 100027, Kazakhstan
Institute of Machines and Motor Vehicles, Poznan University of Technology, 60-965 Poznan, Poland
Institute of Machine Design, Poznan University of Technology, 60-965 Poznan, Poland
Funding
Ministry of Science and Higher Education in Poland
References (40)
Show source-provided references
1. (2025, October 23). Federal Railroad Administration, Available online: https://railroads.dot.gov/.
2. (2025, October 23). Ministry of Transport of the People’s Republic of China, Available online: https://www.mot.gov.cn/.
3. Gao, Z., He, M., Zhang, X., Chen, M., and Wang, W. (2024). Spare Parts Management Strategy of High-Speed Railway Running Department Based on Performance Prediction. Electronics, 13.10.3390/electronics13214239 ↗
4. Lin, B., Wang, J., Wang, H., Wang, Z., Li, J., Lin, R., Xiao, J., and Wu, J. (2017). Inventory-Transportation Integrated Optimization for Maintenance Spare Parts of High-Speed Trains. PLoS ONE, 12.10.1371/journal.pone.0176961 ↗
5. Zhang, D., Yang, S., Li, S., Fan, J., and Ji, B. (2020). Integrated Optimization of the Location–Inventory Problem of Maintenance Component Distribution for High-Speed Railway Operations. Sustainability, 12.10.3390/su12135447 ↗
6. (2025, October 23). Agency for Strategic Planning and Reforms of the Republic of Kazakhstan Bureau of National Statistics—Main, Available online: https://stat.gov.kz/en/.
7. (2025, October 23). Oтpacли—Agency for Strategic Planning and Reforms of the Republic of Kazakhstan Bureau of National Statistics, Available online: https://stat.gov.kz/en/industries/business-statistics/stat-transport.
8. Problems of and Prospects for the Development of Railway Infrastructure in Kazakhstan10.1051/e3sconf/202447102006 ↗
9. Funk, T., and Hromádka, V. (2020, January 16–25). IMPACT of RAILWAY MODERNIZATION on the FREQUENCY of INCIDENTS. Proceedings of the International Multidisciplinary Scientific GeoConference: SGEM, Sofia, Bulgaria.10.5593/sgem2020V/6.2/s10.38 ↗
10. (2025, October 23). Mishustin Approved the Rosstat Development Strategy with an Emphasis on Digitalization. Document. Available online: https://tadviser.com/index.php/Company:Federal_State_Statistics_Service_(Rosstat).
11. Experimental Evaluation of Railway Crew Impact on Tension Rails
12. Efficiency Assessment of the Mongolian Railway Industry Using Data Envelopment Analysis: A Comparative Analysis with CAREC Railways10.22306/al.v12i1.615 ↗
13. Simulation Analysis of the Effect of Doubling and Electrification on the Reliability of the Rail Networks: A Case Study of Tehran-Mashhad Railroad
14. Qin, Y., Jia, L., Liu, B., Liu, Z., Diao, L., and An, M. (2019, January 25–27). Estimate of Railway Line Capacity Under Adverse Operation Condition. Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT), Qingdao, China.
15. Assessing the Potential for Additive Manufacturable Spare Parts in the Railway Industry by a Data-Driven Framework10.1016/j.procir.2024.02.016 ↗
16. Mattos, M.G., Reis, D.A.F., and Magalhaes, D.J.A.V. (2008, January 25–28). Locomotive’s Spare Parts Optimization. Proceedings of the 2008 International Conference on Railway Engineering—Challenges for Railway Transportation in Information Age, Hong Kong.10.1049/ic:20080026 ↗
17. Inventory Management Practices at a Big-Box Retailer: A Case Study10.1108/BIJ-11-2021-0716 ↗
18. Cavero-Winchez, A.O., Valencia-Quispe, E.R., Ponce-Nuñez, V.H., and Alvarez-Merino, J.C. (October, January 30). Supply Planning to Reduce Immobilized Inventory in a Mining Explosives Factory. Proceedings of the 2020 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI), Bogota, Colombia.10.1109/CONIITI51147.2020.9240435 ↗
19. Xie, H., and Palani, D. (2018, January 2–4). Analysis of Overstock in Construction Supply Chain and Inventory Optimization. Proceedings of the Construction Research Congress 2018, New Orleans, LA, USA.10.1061/9780784481295.004 ↗
20. Service Spare Parts versus Production Parts: A Centralised or Decentralised Warehouse?
21. A Two-Stage Genetic Algorithm for Joint Coordination of Spare Parts Inventory and Planned Maintenance under Uncertain Failures10.1016/j.asoc.2022.109705 ↗
22. Alii, H.M., Akhmadkhon Gulomjon Ugli, A., Mannonov, A., and Lalnunthari, L. (2025, January 24–26). Artificial Intelligence and IoT in Logistics Management for the Intelligent Supply Chain Management For The Future Era. Proceedings of the 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES), Coimbatore, India.10.1109/ICCIES63851.2025.11032715 ↗
23. Wang, D., Sun, Y., Yu, L., Shen, K., Li, J., and Wu, X. (2025). Research on the Optimization Method of Inventory Management of Important Spare Parts of Intercity Railway. PLoS ONE, 20.10.1371/journal.pone.0327852 ↗
24. Research on Optimization of Spare Parts Inventory Policy Considering Maintenance Priority10.1007/s13198-018-0748-3 ↗
25. The Role of Distribution Centres in the Logistics Infrastructure of Kazakhstan10.22306/al.v11i3.531 ↗
26. Hesselbach, J., and Herrmann, C. (2011). Effects of Lateral Transshipments in Multi-Echelon Closed-Loop Supply Chains. Glocalized Solutions for Sustainability in Manufacturing, Proceedings of the 18th CIRP International Conference on Life Cycle Engineering, Technische Universität Braunschweig, Braunschweig, Germany 2–4 May 2024, Springer.10.1007/978-3-642-19692-8 ↗
27. Shao, Z., Xu, J., and Lei, C. (2025). Electric Multiple Unit Spare Parts Vendor-Managed Inventory Contract Mechanism Design. Systems, 13.10.3390/systems13070585 ↗
28. Algorithm for Making the Optimal Decision for Further Operation of Freight Cars
29. David, P. (2025, October 23). Key Transport Statistics 2023 (2022 Data). Available online: https://www.itf-oecd.org/key-transport-statistics-2023-2022-data.
30. (2025, October 23). Railway Statistics—UIC|UNECE. Available online: https://unece.org/transport/documents/2023/05/presentations/railway-statistics-uic.
31. Munier, N., and Hontoria, E. (2021). Rationality of the AHP Method. Uses and Limitations of the AHP Method: A Non-Mathematical and Rational Analysis, Springer International Publishing.10.1007/978-3-030-60392-2 ↗
32. Talero-Sarmiento, L., Gonzalez-Capdevila, M., Granollers, A., Lamos-Diaz, H., and Pistili-Rodrigues, K. (2024). Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment. Big Data Cogn. Comput., 8.10.20944/preprints202404.0848.v2 ↗
33. Li, P., Wen, M., Zu, T., and Kang, R. (2023). A Joint Location–Allocation–Inventory Spare Part Optimization Model for Base-Level Support System with Uncertain Demands. Axioms, 12.10.3390/axioms12010046 ↗
34. System-Oriented Inventory Models for Spare Parts
35. Demand forecasting For high-turnover spare parts in agricultural and construction machines: A case study
36. The Impact of Transportation Disruptions on Supply Chain Performance10.1016/j.tre.2005.09.008 ↗
37. A Data-Driven Methodology for the Periodic Review of Spare Parts Supply Chain Configurations10.1080/00207543.2023.2201939 ↗
38. El-Thalji, I. (2025). Green Spare Parts Evaluation for Hybrid Warehousing and On-Demand Manufacturing. Appl. Syst. Innov., 8.10.3390/asi8010008 ↗
39. Nathan, B.S., Siva Reddy, B.V., Sastry, C.C., Krishnaiah, J., and Eswaramoorthy, K.V. (2023). Innovative Framework for Effective Service Parts Management in the Automotive Industry. Front. Mech. Eng., 10.10.3389/fmech.2024.1361688 ↗
40. Gallego-García, S., Gejo-García, J., and García-García, M. (2021). Development of a Maintenance and Spare Parts Distribution Model for Increasing Aircraft Efficiency. Appl. Sci., 11.10.3390/app11031333 ↗