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A Taxonomy of Railway Track Maintenance Planning and Scheduling: A Review and Research Trends
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-9681-3804
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering. University of Oulu, Oulu, Finland.ORCID iD: 0000-0001-6356-1364
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-3911-8009
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-1473-3670
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2021 (English)In: Reliability Engineering & System Safety, ISSN 0951-8320, E-ISSN 1879-0836, Vol. 215, article id 107827Article, review/survey (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 215, article id 107827
Keywords [en]
Maintenance management, planning, scheduling, decision support models, railway track
National Category
Reliability and Maintenance
Research subject
Quality technology and logistics
Identifiers
URN: urn:nbn:se:ltu:diva-85191DOI: 10.1016/j.ress.2021.107827ISI: 000690283800033Scopus ID: 2-s2.0-85107785564OAI: oai:DiVA.org:ltu-85191DiVA, id: diva2:1563649
Funder
Swedish Transport AdministrationLuleå Railway Research Centre (JVTC)
Note

Validerad;2021;Nivå 2;2021-06-22 (beamah)

Available from: 2021-06-10 Created: 2021-06-10 Last updated: 2023-09-05Bibliographically approved

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Sedghi, MahdiehKauppila, OsmoBergquist, BjarneVanhatalo, ErikKulahci, Murat

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