Smart Manufacturing adopts an extensive amount of enabling technologies. Progress in ICT constantly drives innovations. Ubiquitous connectivity enabled by IoT technologies, increasing compute capacity and efficiency, and the subsequent push of digitalization in industry enabled new data-driven applications and the re-emergence of AI-technologies over the last decade. At the same time, the deficiencies of current infrastructures and system architectures are revealed when companies fail to adopt data-driven technologies extensively. This paper discusses how modern IT-architectures and infrastructure for cyber-physical production systems can enable their inherent self-x capabilities to pave the road towards higher levels of autonomy facilitated by data-driven technologies.
%0 Generic
%1 stock2020system
%A Stock, D.
%A Bauernhansl, T.
%A Weyrich, M.
%A Feurer, M.
%A Wutzke, R.
%B 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 148-155
%D 2020
%K 2020agententechnologieunditarchitektur 2020ias ias
%T System Architectures for Cyber-Physical Production Systems enabling Self-X and Autonomy
%U https://ieeexplore.ieee.org/abstract/document/9212182
%X Smart Manufacturing adopts an extensive amount of enabling technologies. Progress in ICT constantly drives innovations. Ubiquitous connectivity enabled by IoT technologies, increasing compute capacity and efficiency, and the subsequent push of digitalization in industry enabled new data-driven applications and the re-emergence of AI-technologies over the last decade. At the same time, the deficiencies of current infrastructures and system architectures are revealed when companies fail to adopt data-driven technologies extensively. This paper discusses how modern IT-architectures and infrastructure for cyber-physical production systems can enable their inherent self-x capabilities to pave the road towards higher levels of autonomy facilitated by data-driven technologies.
@conference{stock2020system,
abstract = {Smart Manufacturing adopts an extensive amount of enabling technologies. Progress in ICT constantly drives innovations. Ubiquitous connectivity enabled by IoT technologies, increasing compute capacity and efficiency, and the subsequent push of digitalization in industry enabled new data-driven applications and the re-emergence of AI-technologies over the last decade. At the same time, the deficiencies of current infrastructures and system architectures are revealed when companies fail to adopt data-driven technologies extensively. This paper discusses how modern IT-architectures and infrastructure for cyber-physical production systems can enable their inherent self-x capabilities to pave the road towards higher levels of autonomy facilitated by data-driven technologies.},
added-at = {2020-12-07T14:56:46.000+0100},
author = {Stock, D. and Bauernhansl, T. and Weyrich, M. and Feurer, M. and Wutzke, R.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/274e7af71e3341460bc672b6ff98f4df6/taylansngerli},
booktitle = {25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 148-155},
interhash = {e45127dd4c5bde6f1340b5eeb8a5e51c},
intrahash = {74e7af71e3341460bc672b6ff98f4df6},
keywords = {2020agententechnologieunditarchitektur 2020ias ias},
timestamp = {2021-04-06T11:27:30.000+0200},
title = {System Architectures for Cyber-Physical Production Systems enabling Self-X and Autonomy},
url = {https://ieeexplore.ieee.org/abstract/document/9212182},
year = 2020
}