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Identifying and analysing data for cost-effective cost-effective maintenance decision-making
Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Systemekonomi.
Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Systemekonomi.ORCID iD: 0000-0002-2637-6175
2006 (English)In: ICME 2006: Proceedings of the first international conference on maintenance engineering, Science press, Bejing , 2006Conference paper, Published paper (Refereed)
Abstract [en]

The problem addressed is: How to identify the relevant variables and performance measures that should be monitored for achieving cost-effective maintenance decisions that enhance company’s business? The main result achieved is a model for identifying relevant data required for accurate problem tracing and localisation within maintenance and production processes using a top down approach. The potential of applying the model is illustrated in a case study including databases of two commercial software programs. The main conclusion drawn: By integrating data resources within the enterprise a holistic view of the production process can be achieved.

Place, publisher, year, edition, pages
Science press, Bejing , 2006.
Keywords [en]
Maintenance, Decision making, Top-down methods, Data acquisition
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:vxu:diva-4489ISBN: 7-03-018064-X (print)OAI: oai:DiVA.org:vxu-4489DiVA, id: diva2:204447
Available from: 2007-04-23 Created: 2007-04-23 Last updated: 2018-09-19Bibliographically approved

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Al-Najjar, BasimKans, Mirka

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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