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Data Quality of Maintenance Data: A Case Study in MAXIMO CMMS
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-5620-5265
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2017 (English)In: Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden / [ed] Diego Galar, Dammika Seneviratne, Luleå: Luleå tekniska universitet, 2017, 105-110 p.Conference paper, Published paper (Refereed)
Abstract [en]

Computerised maintenance management systems (CMMS) are software packages; their data include information on an organisation’s maintenance, operations and costs. MAXIMO is recognised as a leading CMMS for asset management. It helps to manage maintenance data, improving data quality, making maintenance more efficient, and supporting decision making. However, MAXIMO systems have problems of data quality, with a resulting impact on efficiency and the validity of decisions based on those data. This paper investigates the quality of maintenance data in MAXIMO using the Swedish Transport Agency (Trafikverket) as a case study. It discusses the results before and after data cleaning to show the impact of data quality problems on data analysis.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2017. 105-110 p.
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-63835ISBN: 978-91-7583-841-0 (electronic)OAI: oai:DiVA.org:ltu-63835DiVA: diva2:1107454
Conference
Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-08-17Bibliographically approved

Open Access in DiVA

Proceedings(22302 kB)51 downloads
File information
File name FULLTEXT01.pdfFile size 22302 kBChecksum SHA-512
710a395ad10e685ab0840cb31fd069a1b7f4fd2e571fd2bccd2bd52c3eabccde86d840e2ed0c10f3f90e48a4d8ff7c62988987c3e654540b96e3d990c5bac465
Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
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