A Systematic Approach to the High-Level Maintenance Scheduling for High-Speed Trains in China

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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  • Wenqiang Zheng
  • Hanxiao Zhang
  • Yan-Fu Li

Related Research Unit(s)


Original languageEnglish
Journal / PublicationIEEE Transactions on Reliability
Online published27 Jul 2023
Publication statusOnline published - 27 Jul 2023


High-level maintenance is one of the key practices to ensure the safe operation of high-speed trains (HSTs). However, it is usually scheduled manually, and there has been a lack of systematic study on how to optimize maintenance scheduling considering a dynamic time interval. This article discusses the state-of-the-art high-level maintenance scheduling models of HSTs. The one-time maintenance scheduling problem, where the maintenance action occurs at most once in the planning horizon, is a key issue for HSTs’ high-level maintenance. We construct a more efficient mathematical model and propose an exact solution for the one-time scheduling model (OSM). However, HSTs might be maintained several times within the planning horizon to achieve a more favorable performance in real-world practice. Therefore, we extend the OSM to the periodic scheduling model (PSM), which aims to accommodate several maintenance actions and could be valuable to obtain a global optimal plan. Both models are mixed 0–1 linear integer models and can be solved by commercial solvers. The effectiveness and comparisons of the proposed models are illustrated by a real-case study using the maintenance records of 100 HSTs in China. The results can serve as the basis for the HSTs’ high-level maintenance scheduling under either a periodic case or a one-time case. © 2023 IEEE

Research Area(s)

  • High-level maintenance scheduling, high-speed trains (HSTs), Inspection, Job shop scheduling, Maintenance engineering, one-time maintenance scheduling, Optimal scheduling, periodic maintenance scheduling, Rail transportation, Reliability, Scheduling