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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.