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.
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© 2007 Springer Science+Business Media, LLC
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Euler-Chelpin, A.v., Kjellberg, T. (2007). Capturing Resource Operation Knowledge From Runtime Data For Production Support and Feedback to Development. In: Cunha, P.F., Maropoulos, P.G. (eds) Digital Enterprise Technology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-49864-5_61
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DOI: https://doi.org/10.1007/978-0-387-49864-5_61
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-49863-8
Online ISBN: 978-0-387-49864-5
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