Data quality in eMaintenance: a call for research
2011 (English)In: MPMM 2011: Maintenance Performance Measurement & Management: Conference Proceedings / [ed] Diego Galar; Aditya Parida; Håkan Schunnesson; Uday Kumar, Luleå: Luleå tekniska universitet, 2011, 69-73 p.Conference paper (Refereed)
Effective and efficient maintenance requires a proper information logistics, which can be delivered through eMaintenance solutions. Development of eMaintenance solutions faces extensive challenges. One of these challenges is how to ensure the quality of data used in different eMaintenance solutions. Data Quality (DQ) concerns all phases of the maintenance process. The purpose of this paper is to answer the research question: how should DQ be considered and managed when developing eMaintenance solutions. To deal with such challenges a case study was conducted at a mining company. Empirical data has been collected through interviews, observations, archival records and workshops. The data analysis has been based on an empirical framework that supports the identification of required information services. Conditions that support the DQ and the information logistics, along with that, support the maintenance process have been presented. These aspects have also been related to the phases of a generic maintenance process.
Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2011. 69-73 p.
Civil engineering and architecture - Building manufacturing engineering
Samhällsbyggnadsteknik och arkitektur - Byggproduktionsteknik
Research subject Operation and Maintenance
IdentifiersURN: urn:nbn:se:ltu:diva-34653Local ID: 8e8abf86-1540-4cd1-bb07-85cce64735c9ISBN: 978-91-7439-379-8OAI: oai:DiVA.org:ltu-34653DiVA: diva2:1007904
International Conference on Maintenance Performance Measurement & Management : MPM² 13/12/2011 - 15/12/2011
Godkänd; 2011; 20111217 (ysko)2016-09-302016-09-30Bibliographically approved