Principles, algorithms, and development prospects of the methodology for determining optimal time allocation schemes for infrastructure maintenance and repairs on main railway routes while ensuring specified transport volumes
Abstract
This article discusses the principles and algorithms underlying the methodology for determining optimal time allocation schemes for infrastructure maintenance and repairs while ensuring specified transport volumes. The relevance of this topic is driven by the need to enhance the efficiency of transport system operations and minimize maintenance costs. The study analyzes existing approaches to planning repair work and proposes new algorithmic solutions that consider various factors influencing the repair and maintenance process. The authors present approaches for developing different scenarios of time allocation schemes for infrastructure maintenance and repair, along with criteria for selecting the most optimal among them. The effectiveness of the proposed algorithms is evaluated based on real operational data, confirming their practical significance. In conclusion, the article discusses prospects for further research in this area, including the potential for automating this methodology to improve the accuracy of repair and maintenance planning. The results of this study may be beneficial for specialists in railway infrastructure maintenance and repair, as well as for managing transportation processes.
About the Authors
R. V. ShanyginRussian Federation
Shanygin R.V., Director of the Infrastructure Design and Engineering Bureau – a branch of JSC «Russian Railways»
G. O. Kozyr
Russian Federation
Kozyr G.O., Chief Engineer of the Central Infrastructure Directorate – a branch of JSC «Russian Railways»
A. Y. Sokolov
Russian Federation
Sokolov A.Y., Deputy Head of the Railway Operation and Transport Systems Interaction Center
S. Y. Kirillova
Russian Federation
Kirillova S.Y., Head of the Railway Capacity Department at the Railway Operation and Transport Systems Interaction Center
A. P. Kozlovsky
Russian Federation
Kozlovsky A.P., Head of the Simulation Modeling Center
I. R. Gurgenidze
Russian Federation
Gurgenidze I.R., Deputy General Director
References
1. Chernyugov A.D. New in the calculation of railway capacity // Bulletin of VNIIZHT. 1980. No. 1, pp. 6-10.
2. Panin, V.V. The use of automated systems to ensure the processes of interaction between divisions of Russian Railways in the organization of transportation / V. V. Panin, E. S. Prokofieva // Intelligent control systems in railway transport. Computer and Mathematical Modeling (ISMST-2019): Proceedings of the eighth Scientific and Technical Conference, Moscow, November 21, 2019. Moscow: Joint-Stock Company «Scientific Research and Design Institute of Informatization, Automation and Communication in Railway Transport», 2019. pp. 162-163.
3. Panin V.V. Comprehensive measures to improve the efficiency of infrastructure use and increase the carrying capacity of landfills of Russian railways / V. V. Panin // Logistics and supply chain management. - 2023. – Vol. 20, No. 3(108). – pp. 54-63.
4. Panin, V.V., Lakhankin E. A., Poyarkova M.A. Development of the tasks of the «Simulation resource model for using the infrastructure of Russian Railways (AS PROGRESS)» in the framework of end-to-end production planning. // Intelligent control systems in railway transport. Computer and Mathematical Modeling (ISMST-2019): Proceedings of the Eighth Scientific and Technical Conference, Moscow, November 21, 2019. Moscow: Joint-Stock Company «Scientific Research and Design Institute of Informatization, Automation and Communication in Railway Transport», 2019. pp. 87-90.
5. Sokolov A.Yu., Kirillova S.Yu., Panin E.V. An automated system for calculating the available capacity of railways. Railway transport. 2017. No. 10. pp. 42-45.
6. Sokolov A.Yu., Kirillova S.Yu., Panin E.V. Development and application of the automated system «Passport of cash capacity of railways of JSC Russian Railways». Collection «Intelligent control systems in railway transport. Computer and Mathematical Modeling» (ISWST-2018) Proceedings of the seventh Scientific and Technical Conference. 2018. pp. 205-208.
7. Gurgenidze, I.R. An Algorithm for Selecting the Sequence of Infrastructure Works during Operational Activities. Railway Transport, 2023, no. 9, pp. 19–23.
8. Borodin A.F., Panin V.V., Ageeva M.A. [et al.] Assessment of the balance of carrying capacity of polygons of the railway network / A. F. Borodin, V. V. Panin, M. A. Ageeva [et al.] // Bulletin of the Scientific Research Institute of Railway Transport. – 2022. – Vol. 81, No. 2. – pp. 158-169. – DOI 10.21780/2223-9731-2022-81-2-158-169.
9. Stepanov, A.V. Formation of the «Windows» plan using the VGDP / A.V. Stepanov, S. V. Tororoshenko, A.D. Kolemasov // Innovative technologies in railway transport: Proceedings of a scientific and practical conference with international participation, Moscow, October 20-21, 2021. Moscow: Federal State Autonomous Educational Institution of Higher Education «Russian University of Transport», 2022, pp. 395-399.
Review
For citations:
Shanygin R.V., Kozyr G.O., Sokolov A.Y., Kirillova S.Y., Kozlovsky A.P., Gurgenidze I.R. Principles, algorithms, and development prospects of the methodology for determining optimal time allocation schemes for infrastructure maintenance and repairs on main railway routes while ensuring specified transport volumes. Logistics and Supply Chain Management. 2025;22(1):41-54. (In Russ.)