A taxonomy of railway track maintenance planning and scheduling: A review and research trends

Mahdieh Sedghi*, Osmo Kauppila, Bjarne Bergquist, Erik Vanhatalo, Murat Kulahci

*Corresponding author for this work

Research output: Contribution to journalReviewResearchpeer-review

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Abstract

Railway track maintenance and renewal are vital for railway safety, train punctuality, and travel comfort. Therefore, having cost-effective maintenance is critical in managing railway infrastructure assets. There has been a considerable amount of research performed on mathematical and decision support models for improving the application of railway track maintenance planning and scheduling. This article reviews the literature in decision support models for railway track maintenance planning and scheduling and transforms the results into a problem taxonomy. Furthermore, the article discusses current approaches in optimising maintenance planning and scheduling, research trends, and possible gaps in the related decision-making models.

Original languageEnglish
Article number107827
JournalReliability Engineering and System Safety
Volume215
Number of pages23
ISSN0951-8320
DOIs
Publication statusPublished - Nov 2021

Bibliographical note

Funding Information:
The authors gratefully acknowledge the financial and other support obtained from the Swedish Transportation Administration and Luleå Railway Research Centre (JVTC) through the project “Statistical Methods in Railway Maintenance”. We especially thank Prof. Athanasios Migdalas for his participation in the review process and his significant operations research theory input. Further, we appreciate Prof. Peter Söderholm for his valuable involvement and contributions. The authors thank the anonymous reviewers and the editor for valuable comments that significantly improved this article.

Publisher Copyright:
© 2021

Keywords

  • Decision support models
  • Maintenance management
  • Planning
  • Railway track
  • Scheduling

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