Multi-Criteria Data Quality Assessment Maintenance perspective
2014 (English)In: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications / [ed] Uday Kumar; Ramin Karim; Aditya Parida; Philip Tretten, Luleå: Luleå tekniska universitet, 2014, 153-158 p.Conference paper (Refereed)
Data quality (DQ) in maintenance has become an increasinglyimportant aspect to many firms as most of the maintenanceplanning and implementations are based on data analysis. PoorDQ has adverse effects at the operational, tactical, and strategiclevels of any organization. Respectively, poor DQ reducescustomer satisfaction, leading to poor decision making, and hasnegative impacts on strategy execution. To improve DQ as well asto evaluate the current status, DQ need to be measured followingthe fact that only what can be measured can be improved. Ameasure for DQ could be an important support for decisionmakers. In order to assess DQ, related attributes should bedefined. These attributes could be related to the data itself, to themetadata, or to the data representation schemes. After definingthese attributes, an assessment model should be used to evaluatethese attributes. The purpose of this paper is to propose a modelfor DQ assessment. Therefore, a study of DQ attributes and thepossible metrics that could be used to measure these attributes wasundertaken. The proposed model will be applied on datasetprovided by the Swedish Transport Administration (Trafikverket)for validation and to find an estimation measure of the DQ.
Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2014. 153-158 p.
Research subject Operation and Maintenance
IdentifiersURN: urn:nbn:se:ltu:diva-28602Local ID: 273360ff-4922-463d-be84-e10f2a6136feISBN: 978-91-7439-973-8ISBN: 978-91-7439-973-8OAI: oai:DiVA.org:ltu-28602DiVA: diva2:1001803
International Workshop and Congress on eMaintenance : 17/06/2014 - 18/06/2014
Godkänd; 2014; 20140619 (andbra)2016-09-302016-09-30Bibliographically approved