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.
Bibliographical noteFunding 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.
- Decision support models
- Maintenance management
- Railway track