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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer Science+Business Media, LLC
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)