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Link and Effect Model – Part II: Methods for Measuring Maintenance Performance of Rail Infrastructure
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-0188-4624
2016 (English)Report (Other academic)
Abstract [en]

Congestion of roads and sky, increasing energy costs and a demand to reduce emissions, have created a need to shift transportation from road and air to rail. Consequently, rail utilisation is increasing, adding stress to the rail infrastructure and time constraints to maintenance. At the same time, the performance and capacity of rail infrastructure are expected to be preserved or even improved. Railway performance and capacity can be enhanced by: expanding infrastructure; introducing better technology; and improving the efficiency and effectiveness of operation and maintenance. Performance measurement has shown to improve the efficiency and effectiveness of organisations, but the development and integration of performance measurements are essential. A key issue in performance measurement is the process of collecting, storing and converting data into information and knowledge, i.e. data analysis and presentation. Organisations use various systems and methods to collect and analyse data, but the analysis of the collected data to extract relevant information is often a challenge. With improved data analysis and performance measurement, rail transportation can meet the requirements of performance and capacity. Specifically, maintenance planning and optimisation of preventive maintenance can be made more effective, which can decrease interruptions of train operation, reduce costs and ensure safety.In this project, methods for measuring maintenance performance of rail infrastructure are developed. The work aims to facilitate decision-making in rail infrastructure maintenance.Keywords: Operation and maintenance, indicators, performance measurement, maintenance cost, rail infrastructure, linear assets, preventive maintenance, corrective maintenance, aggregation, composite indicators, cost-benefit analysis, decision support

Place, publisher, year, edition, pages
Luleå, 2016. , 218 p.
Series
Research report / Luleå University of Technology, ISSN 1402-1528
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-22768Local ID: 43a4ef2d-6c57-4879-a27a-5dfd1a926d35ISBN: 978-91-7583-661-4 (print)ISBN: 978-91-7583-662-1 (print)OAI: oai:DiVA.org:ltu-22768DiVA: diva2:995817
Projects
Link and effect model application through life cycle cost and return of investment analysis
Note

Godkänd; 2016; 20160819 (chrste)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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fulltext(4103 kB)145 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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