Talks and Poster Presentations (with Proceedings-Entry):

F. Rinker et al.:
"Flexibe Multi-Aspect Model Integration for Cyber-Physical Production Systems Engineering";
Talk: CAiSE '21 33rd International Conference on Advanced Information Systems Engineering, Melbourne; 2021-06-28 - 2021-07-02; in: "Proceedings of the Doctoral Consortium Papers Presented at the 33rd International Conference on Advanced Information Systems Engineering (CAiSE 2021)", (2021), ISSN: 1613-0073.

English abstract:
Background. Consistent cross-disciplinary engineering data
models have become increasingly important for engineers and project
managers to validate system designs or implement new features in existing systems. However, discipline-specific designs (mechanical, electrical,
automation engineering etc.) in isolated data models and proprietary
software tools often create information silos. Similar to information systems, the challenges in Cyber-Physical Production System (CPPS) are a
high amount of heterogeneous data that needs to be analysed and accessible for stakeholders and systems. Aim. The goal of the Flexible Multiaspect Model Integration project is to support the integration of local
engineering views and artefacts using the definition of common concepts
across different disciplines. Therefore, the thesis project will provide capabilities to integrate and validate multi-aspect models more efficiently
to increase the data quality. Method. The project will follow Design Science methodology to design and evaluate i) a method for collecting and
defining common concepts across engineering disciplines, ii) a modularised software system design that enables flexible model integration
processes in a CPPS context, and iii) an exemplary model integration
process that supports data integration needs in the planning, operation,
and analytics phase. The model integration processes are evaluated with
real-world uses cases from industry. Conclusion. The information systems community will gain insight into the requirements in engineering
and a method for agreeing on an inter-disciplinary common understanding from this research.

Industry 4.0 Multi-Aspect Information System MultiDisciplinary Engineering

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.