Assessing the Potential for Resilient Performance in Rolling Stock Maintenance: The Pitstop Case

Jan-Jaap Moerman*, A.J.J. Braaksma, Leo A.M. van Dongen

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    Unexpected failures of physical assets are a primary operational risk to asset-intensive organisations. Managing these unexpected failures is essential for reliable performance. The main railway operator in the Netherlands expects more unexpected failures as a result of the introduction of new rolling stock in an already highly utilised railway system. One of the challenges of maintenance management is to determine if the current corrective maintenance system has the capabilities to cope with an increase of unexpected defects of rolling stock in the upcoming years or that further improvements are required. In the last decade, Resilience Engineering has emerged as a new paradigm in a number of high-risk sectors to detect and respond to unexpected events effectively. Attempts to apply this concept outside these sectors have so far been limited. The main purpose of this study is to explore the applicability of Resilience Engineering in the field of rolling stock maintenance by assessing the potential for resilient performance using an in-depth case study. A comparison between the characteristics of corrective maintenance and emergency healthcare showed that the studied contexts are highly comparable which suggests that the concept of Resilience Engineering may also apply to corrective maintenance of rolling stock. This study contributes to theory by replicating and adapting Resilience Engineering for corrective maintenance of rolling stock and provides maintenance practitioners guidance on how to measure current resilience and identify improvement areas.
    Original languageEnglish
    Title of host publicationTransportation Systems
    Subtitle of host publicationManaging Performance through Advanced Maintenance Engineering
    EditorsSarbjeet Singh, Alberto Martinetti, Arnab Majumdar, Leo A.M. van Dongen
    Number of pages26
    ISBN (Electronic)978-981-32-9323-6
    ISBN (Print)978-981-32-9322-9
    Publication statusSubmitted - 2019


    • Resilience engineering
    • Corrective maintenance
    • Rolling stock

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