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Capturing resource operation knowledge from runtime data for production support and feedback to development
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2007 (English)In: Digital Enterprise Technology: Perspectives and Future Challenges / [ed] Cunha, PF; Maropoulos, PG, 2007, 519-526 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes the use of runtime data in two scenarios: to support the production, and to feed back resource operation knowledge to manufacturing system development. Challenges are discussed and some approaches are suggested Raw data need to be synthesized into knowledge and analyzed within its specific context. A common ontology with shared concepts is needed for the whole manufacturing system life cycle. References need to be established between models from different contexts for increased accessibility.

Place, publisher, year, edition, pages
2007. 519-526 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-40778ISI: 000248139400061ISBN: 978-0-387-49863-8 (print)OAI: oai:DiVA.org:kth-40778DiVA: diva2:442618
Conference
3rd International Conference on Digital Enterprise Technology Location: Setubal, Portugal, Date: SEP , 2006
Available from: 2011-09-22 Created: 2011-09-20 Last updated: 2011-09-22Bibliographically approved

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Language
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Output format
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