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Applying Eurostat’s ESS handbook for quality reports on railway maintenance data
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-0188-4624
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0002-6479-9101
2019 (English)In: Proceedings of the International Heavy Haul Association STS Conference (IHHA 2019), 2019, p. 473-480Conference paper, Published paper (Refereed)
Abstract [en]

The importance of data quality has become more evident with the digitalization trend and development of new asset management frameworks. Digitalization has changed maintenance work by an increasing share of condition monitoring and digitalized work order processes, which for rail infrastructure and rolling stock give rise to data sets qualifying as big data. Asset management in turn, has progressed significantly the last decades as a response to digitalization, as well as due to a changing organisational culture. ISO 55000, perhaps the best known asset management guidelines, has been adapted to railways by UIC (International Union of Railways), and the EU-projects In2Rail and In2Smart. However, the quality of the data collected has become a growing concern that has not been adequately addressed in asset management. In this study, Eurostat’s ESS (European Statistical System) handbook for quality reports has been adapted and applied to railway maintenance data. The results include a case study on data quality reporting and performance indicator specification. Practical implications are believed to be that the study will support a more structured process towards data quality management, which in turn can aid decision-making, for example by more accurate cost-benefit analysis of preventive maintenance.

Place, publisher, year, edition, pages
2019. p. 473-480
Keywords [en]
data quality, quality reporting, quality assurance framework, maintenance, asset management, European Statistical System (ESS), Eurostat, railway
National Category
Reliability and Maintenance Other Civil Engineering
Research subject
Operation and Maintenance; Quality technology and logistics
Identifiers
URN: urn:nbn:se:ltu:diva-75026OAI: oai:DiVA.org:ltu-75026DiVA, id: diva2:1330927
Conference
International Heavy Haul STS Conference 2019, 10th – 14th June, Narvik, Norway
Available from: 2019-06-26 Created: 2019-06-26 Last updated: 2019-07-08

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fulltext(1188 kB)18 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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