Modeling Framework for Smart Production Environments
If you are interested, please contact Christian Huemer or Bernhard Wally.
Model-driven approach to tackle the challenges of vertical and horizontal integration in the production industry.
Smart production systems require integrated systems in order to efficiently utilize data from one system level in another one (e.g. business data from ERP systems for the configuration of production systems). However, typically a plethora of non-integrated tools is used in real production systems. We therefore propose a standards-driven approach, where systems integration is realized on an abstract level.
In this thesis, relevant industry standards as well as academic modeling standards are used for integrating runtime data across functional software domains.
The standards and frameworks to be considered include:
- Resource-Event-Agent (REA) Business Ontology
- ISA-95 (IEC 62264)
- AutomationML (IEC 62714)
We welcome candidates with good (meta-)modeling and software development skills.