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Capturing Resource Operation Knowledge From Runtime Data For Production Support and Feedback to Development

  • Astrid von Euler-Chelpin
  • Torsten Kjellberg

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.

Keywords

Actual Capability Manufacture System Reconfiguration System Life Cycle Common Ontology Runtime Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Astrid von Euler-Chelpin
    • 1
  • Torsten Kjellberg
    • 1
  1. 1.Dept. of Production EngineeringDiv. of Computer Systems for Design and Manufacturing KTHSweden

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