[Zurück]


Beiträge in Tagungsbänden:

C. Huemer, G. Kappel, M. Wimmer, H. Proper, S. Reich, W. Behrendt, S. Thalmann, G. Weichhart, A. Zoitl:
"Interoperability and Integration in Future Production Systems";
in: "2018 IEEE 20th Conference on Business Informatics (CBI)", herausgegeben von: IEEE Computer Society; IEEE Computer Society, Los Alamitos, 2018, (eingeladen), ISBN: 978-1-5386-7016-3, S. 175 - 177.



Kurzfassung deutsch:
Research in areas of Internet of Things (IoT), Industry 4.0 (I4.0), Cyber Physical Systems (CPS), consider system-of-systems composed of hardware and software systems that seamless work together. Interoperability ranges from compatibility (systems do not disturb other systems, but no interaction between systems) to integration (systems that share a common model/worldview). Between these extremes a continuum of interoperability exists.

In any case, interoperability is a model-driven approach - in contrast to data-driven or machine-learning approaches, for example. In general, models contain modules, connections, and behavior descriptions of different types.

Integration and interoperability may not only be seen as (goal) states but also as processes. Changes in one system might trigger adaptation in other systems. However, in loose integration and interoperability settings there is more support for the evolution of models.

Kurzfassung englisch:
Research in areas of Internet of Things (IoT), Industry 4.0 (I4.0), Cyber Physical Systems (CPS), consider system-of-systems composed of hardware and software systems that seamless work together. Interoperability ranges from compatibility (systems do not disturb other systems, but no interaction between systems) to integration (systems that share a common model/worldview). Between these extremes a continuum of interoperability exists.

In any case, interoperability is a model-driven approach - in contrast to data-driven or machine-learning approaches, for example. In general, models contain modules, connections, and behavior descriptions of different types.

Integration and interoperability may not only be seen as (goal) states but also as processes. Changes in one system might trigger adaptation in other systems. However, in loose integration and interoperability settings there is more support for the evolution of models.

Schlagworte:
Interoperability , Business , Production systems , Standards , Ontologies , Informatics


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/CBI.2018.10067

Elektronische Version der Publikation:
https://publik.tuwien.ac.at/files/publik_276759.pdf


Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.