Cyber-physical production systems based on technologies such as machine to machine communication, the Internet of Things and other cutting edge technologies are going to advance manufacturing automation and industrial production. Information technology seems once again to be the driving force for change in manufacturing automation. But what are the characteristics of such systems in comparison to the existing approaches? In this article we recommend an evaluation model for cyber-physical production systems is proposed based on a set of system characteristics, which defines specific abilities and performance indicators. Furthermore, an analysis and verification of that model is presented sketching the typical pattern and impact of cyber-physical production systems. As a result a refined evaluation model is available, suitable for the characterization of cyber-physical technologies and thereby enabling a technological assessment.
%0 Book Section
%1 WeyrichKleinEtAl17p169
%A Weyrich, Michael
%A Klein, Matthias
%A Schmidt, Jan-Philipp
%A Jazdi, Nasser
%A Bettenhausen, Kurt D.
%A Buschmann, Frank
%A Rubner, Carolin
%A Pirker, Michael
%A Wurm, Kai
%B Industrial Internet of Things
%C Cham
%D 2017
%E Jeschke, Sabina
%E Brecher, Christian
%E Song, Houbing
%E Rawat, Danda B.
%I Springer
%K 01821 springer paper embedded ai factory business economy requirements test zzz.i40
%P 169--199
%R 10.1007/978-3-319-42559-7_7
%T Evaluation Model for Assessment of Cyber-Physical Production Systems
%X Cyber-physical production systems based on technologies such as machine to machine communication, the Internet of Things and other cutting edge technologies are going to advance manufacturing automation and industrial production. Information technology seems once again to be the driving force for change in manufacturing automation. But what are the characteristics of such systems in comparison to the existing approaches? In this article we recommend an evaluation model for cyber-physical production systems is proposed based on a set of system characteristics, which defines specific abilities and performance indicators. Furthermore, an analysis and verification of that model is presented sketching the typical pattern and impact of cyber-physical production systems. As a result a refined evaluation model is available, suitable for the characterization of cyber-physical technologies and thereby enabling a technological assessment.
%@ 978-3-319-42558-0
@incollection{WeyrichKleinEtAl17p169,
abstract = {Cyber-physical production systems based on technologies such as machine to machine communication, the Internet of Things and other cutting edge technologies are going to advance manufacturing automation and industrial production. Information technology seems once again to be the driving force for change in manufacturing automation. But what are the characteristics of such systems in comparison to the existing approaches? In this article we recommend an evaluation model for cyber-physical production systems is proposed based on a set of system characteristics, which defines specific abilities and performance indicators. Furthermore, an analysis and verification of that model is presented sketching the typical pattern and impact of cyber-physical production systems. As a result a refined evaluation model is available, suitable for the characterization of cyber-physical technologies and thereby enabling a technological assessment.},
added-at = {2017-01-01T15:27:22.000+0100},
address = {Cham},
author = {Weyrich, Michael and Klein, Matthias and Schmidt, Jan-Philipp and Jazdi, Nasser and Bettenhausen, Kurt D. and Buschmann, Frank and Rubner, Carolin and Pirker, Michael and Wurm, Kai},
biburl = {https://www.bibsonomy.org/bibtex/2b26eda32cbe0155389b31f921f6e9b40/flint63},
booktitle = {Industrial Internet of Things},
crossref = {JeschkeBrecherEtAl2017},
doi = {10.1007/978-3-319-42559-7_7},
editor = {Jeschke, Sabina and Brecher, Christian and Song, Houbing and Rawat, Danda B.},
file = {SpringerLink:2017/WeyrichKleinEtAl17p169.pdf:PDF},
groups = {public},
interhash = {0c79f8b9682fdbe3d3c9ae86e444aac0},
intrahash = {b26eda32cbe0155389b31f921f6e9b40},
isbn = {978-3-319-42558-0},
issn = {2365-4139},
keywords = {01821 springer paper embedded ai factory business economy requirements test zzz.i40},
pages = {169--199},
publisher = {Springer},
series = {Springer Series in Wireless Technology},
timestamp = {2018-04-16T11:50:29.000+0200},
title = {Evaluation Model for Assessment of Cyber-Physical Production Systems},
username = {flint63},
year = 2017
}