Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
D. Winkler, A. Lüder, K. Meixner, F. Rinker, S. Biffl:
"Towards Model Consistency Representations in a Multi-Disciplinary Engineering Network";
Vortrag: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),
Vienna, Austria;
08.09.2020
- 11.09.2020; in: "Proceedings of 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)",
(2020),
S. 1413
- 1416.
Kurzfassung englisch:
Production Systems Engineering (PSE) networks
create engineering results represented by interdependent engineering data models. A key aspect of engineering result quality
is the consistency achieved in and among the discipline-specific
data models. However, the heterogeneity of discipline-specific
data models makes it hard to represent and evaluate consistency
across engineering disciplines. In this paper, we introduce PSEMECon - a method for Modelling and Evaluating Consistency
rules in PSE environments across disciplines. We describe a metamodel for representing consistency rules in a multi-disciplinary
data model and demonstrate the viability of the meta-model
by representing dependencies in AutomationML as foundation
for consistency checks for engineering data logistics in multidisciplinary engineering networks.
Schlagworte:
Production Systems Engineering, Engineering Data Logistics, Consistency Rules, AutomationML
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ETFA46521.2020.9211900
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.