We propose a matching framework, which is based on a novel application of the theory of Information Flow and its components, to support the production system on the decision making process on which equipment should be used to conduct a specific production step. This decision making process is part of an application scenario, which is derived from the Industrie 4.0 concept that says that products, production equipment, and production IT systems are getting more and more interconnected to finally reach a certain level of self-organization and autonomy. One of the core components of the proposed IF matching framework is a structure that is called classification. We show within this paper that the traditional approaches of using and representing those classifications with the help of simple table structures cannot be used within our application scenario satisfactorily and discuss how ontologies can be developed and used instead.
|Title of host publication||Conference Proceedings ICE/IEEE ITMC 2018|
|Number of pages||8|
|Publication status||Published - 17 Jun 2018|
|Event||International Conference on Engineering, Technology and Innovation 2018: Era of Connectedness: The Future of Technology, Engineering & Innovation in a Digital Society - Hospitalhof Stuttgart, Stuttgart, Germany|
Duration: 17 Jun 2018 → 20 Jun 2018
http://www.ice-conference.org/Home.aspx (Conference website)
|Conference||International Conference on Engineering, Technology and Innovation 2018|
|Abbreviated title||ICE/IEEE ITMC Conference 2018|
|Period||17/06/18 → 20/06/18|
- smart manufacturing
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- School of Computing, Engineering and Physical Sciences - Senior Lecturer