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Computerised Analysis of Text Entry Fields in Maintenance Work Orders 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 Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-6135-3008
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7474-2723
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; Phillip Tretten, Luleå: Luleå tekniska universitet, 2014, 97-100 p.Conference paper, Published paper (Refereed)
Abstract [en]

Enterprise resource planning systems and computerised maintenance management systems are commonly used by organisations for handling of maintenance work orders through a graphical user interface. A work order consists of a number of data fields, such as drop-down lists, list boxes, check boxes and text entry fields. In contrast to the other data fields, the operator has the freedom to type in any text in the text entry fields, to complement and make the work order description complete. Accordingly, the text entry fields of work orders can contain any words, in any number, as necessary.Data quality is crucial in statistical analysis of work orders data, and therefore manual analysis of work orders’ text entry fields is often necessary before any decision making. However, this may be a very tedious and resource consuming process.In this article, we apply computerised analysis of text entry fields of work orders data, to study if it can bring further value in the assessment of technical assets’ performance.Keywords:Data quality, eMaintenance, maintenance, work orders, failure, decision support, natural language processing

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2014. 97-100 p.
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-26818Local ID: 01297b95-30d3-4232-baa1-40a8480b5663ISBN: 978-91-7439-972-1 (print)ISBN: 978-91-7439-973-8 (electronic)OAI: oai:DiVA.org:ltu-26818DiVA: diva2:999998
Conference
International Workshop and Congress on eMaintenance : 17/06/2014 - 18/06/2014
Projects
Link and effect model application through life cycle cost and return of investment analysis
Note
Godkänd; 2014; 20140619 (chrste)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-24Bibliographically approved

Open Access in DiVA

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