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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

K. Meixner, F. Rinker, H. Marcher, J. Decker, S. Biffl:
"A Domain-Specific Language for Product-Process-Resource Modeling";
Vortrag: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden; 07.09.2021 - 10.09.2021; in: "Proceedings 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)", (2021), ISBN: 978-1-6654-2478-3.



Kurzfassung englisch:
Cyber-Physical Production Systems (CPPSs) are
envisioned as next-generation adaptive production systems combining modern production techniques with the latest information
technology. In CPPS engineering, basic planners define the functional relations between Product-Process-Resource (PPR) views
to specify valid production process and resource designs that
fulfill the customer requirements. Using the Formalised Process
Description standard (VDI 3682) allows to visually model these
PPR views but is hard to process by machines and insufficiently
defined formally. In this paper, we present the design of a
Domain Specific Language (DSL), the PPR DSL, to effectively
and efficiently represent PPR aspects and evaluate constraints
defined for these aspects. We illustrate the PPR DSL with the
use case rocker switch, abstracted from an industrial use case. We
identify requirements and iteratively design and evaluate the PPR
DSL. We show that the PPR DSL can model (a) the functional
view of CPPSs and (b) define and efficiently evaluate constraints
of a CPPS using technologies well-established in industry. We
argue that the PPR DSL provides a valuable contribution for the
community and industry to describe PPR aspects and evaluate
constraints on these aspects. This way, PPR model can be defined
and evaluated more easily for researchers and/or practitioners.

Schlagworte:
Digitalization, CPPS Engineering, CPPS Optimization, Model-Based Engineering, PPR Modeling.


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ETFA45728.2021.9613674


Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.