Decision support for railway track facility management using OpenBIM

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

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Detail(s)

Original languageEnglish
Article number105840
Number of pages17
Journal / PublicationAutomation in Construction
Volume168
Online published31 Oct 2024
Publication statusPublished - 15 Dec 2024

Abstract

Despite rapid advancements in track condition assessment technologies, current railway track facility management (FM) often results in cost-ineffectiveness as well as maintenance- and operation-inefficient outcomes. However, the challenges in current practice and the requirements for enhancing track FM decision-making processes have not been identified in a comprehensive and structured manner by any existing study. To address this gap, case studies and interviews were conducted to identify the challenges, along with the necessary information and functions. Based on these findings, a conceptual decision-support framework for railway track FM, utilizing openBIM, was proposed. This framework addresses data integration, track condition diagnosis, root cause identification considering the interrelationships among multiple components, long-term deterioration prediction, and FM plan optimization. A focus group interview was also conducted, and existing studies were examined to validate the proposed framework, which was found to support informed decision-making for railway track FM, thereby enhancing predictive maintenance.

© 2024 Elsevier B.V.

Research Area(s)

  • Railway track, Facility management (FM), OpenBIM, Case study, Semi-structured interview