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Applying Eurostat’s ESS handbook for quality reports on railway maintenance data
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.ORCID-id: 0000-0002-0188-4624
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.ORCID-id: 0000-0002-6479-9101
2019 (engelsk)Inngår i: Proceedings of the International Heavy Haul Association STS Conference (IHHA 2019), 2019, s. 473-480Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2019. s. 473-480
Emneord [en]
data quality, quality reporting, quality assurance framework, maintenance, asset management, European Statistical System (ESS), Eurostat, railway
HSV kategori
Forskningsprogram
Drift och underhållsteknik; Kvalitetsteknik och logistik
Identifikatorer
URN: urn:nbn:se:ltu:diva-75026OAI: oai:DiVA.org:ltu-75026DiVA, id: diva2:1330927
Konferanse
International Heavy Haul STS Conference 2019, 10th – 14th June, Narvik, Norway
Tilgjengelig fra: 2019-06-26 Laget: 2019-06-26 Sist oppdatert: 2019-07-08

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Stenström, ChristerSöderholm, Peter

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