Standard
Towards Adaptive Quality Assurance in Industrial Applications. / Thomay, Christian; Bodin, Ulf; Isakovic, Haris et al.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. ed. / Pal Varga; Lisandro Zambenedetti Granville; Alex Galis; Istvan Godor; Noura Limam; Prosper Chemouil; Jerome Francois; Marc-Oliver Pahl. IEEE, 2022. p. 1-6 (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Thomay, C, Bodin, U, Isakovic, H, Lasch, R
, Race, N, Schmittner, C, Schneider, G, Szepessy, Z, Tauber, M & Wang, Z 2022,
Towards Adaptive Quality Assurance in Industrial Applications. in P Varga, LZ Granville, A Galis, I Godor, N Limam, P Chemouil, J Francois & M-O Pahl (eds),
Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022, IEEE, pp. 1-6.
https://doi.org/10.1109/noms54207.2022.9789928APA
Thomay, C., Bodin, U., Isakovic, H., Lasch, R.
, Race, N., Schmittner, C., Schneider, G., Szepessy, Z., Tauber, M., & Wang, Z. (2022).
Towards Adaptive Quality Assurance in Industrial Applications. In P. Varga, L. Z. Granville, A. Galis, I. Godor, N. Limam, P. Chemouil, J. Francois, & M.-O. Pahl (Eds.),
Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022 (pp. 1-6). (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022). IEEE.
https://doi.org/10.1109/noms54207.2022.9789928Vancouver
Thomay C, Bodin U, Isakovic H, Lasch R
, Race N, Schmittner C et al.
Towards Adaptive Quality Assurance in Industrial Applications. In Varga P, Granville LZ, Galis A, Godor I, Limam N, Chemouil P, Francois J, Pahl MO, editors, Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. IEEE. 2022. p. 1-6. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022). Epub 2022 Apr 25. doi: 10.1109/noms54207.2022.9789928
Author
Thomay, Christian ; Bodin, Ulf ; Isakovic, Haris et al. /
Towards Adaptive Quality Assurance in Industrial Applications. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. editor / Pal Varga ; Lisandro Zambenedetti Granville ; Alex Galis ; Istvan Godor ; Noura Limam ; Prosper Chemouil ; Jerome Francois ; Marc-Oliver Pahl. IEEE, 2022. pp. 1-6 (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).
Bibtex
@inproceedings{a5f6a43d8b6d4b0a837cf17f97d434ea,
title = "Towards Adaptive Quality Assurance in Industrial Applications",
abstract = "We propose the AQUILA framework (Adaptive Quality Assurance in Industrial Applications), a concept for digitalization in Industry 4.0 to support the entire industrial manufacturing chain, laying the groundwork for adaptive quality assurance in times of disrupted supply chains and, due to the COVID-19 pandemic, restricted travel possibilities. To that end, our proposed framework allows for the definition and description of industrial processes, quality assurance and testing protocols, and training scenarios in a comprehensive notation based on BPMN, and supports users in task execution, documentation, and evaluation by providing smart glass-based HCI with eye tracking technology, delivering a combination of process documentation, context-sensitive AR visualization, gaze-based interaction schemes, and remote maintenance and assistance functionality.",
author = "Christian Thomay and Ulf Bodin and Haris Isakovic and Rainer Lasch and Nicholas Race and Christoph Schmittner and Germar Schneider and Zsolt Szepessy and Markus Tauber and Zhiping Wang",
year = "2022",
month = jun,
day = "9",
doi = "10.1109/noms54207.2022.9789928",
language = "English",
series = "Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022",
publisher = "IEEE",
pages = "1--6",
editor = "Pal Varga and Granville, {Lisandro Zambenedetti} and Alex Galis and Istvan Godor and Noura Limam and Prosper Chemouil and Jerome Francois and Marc-Oliver Pahl",
booktitle = "Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022",
}
RIS
TY - GEN
T1 - Towards Adaptive Quality Assurance in Industrial Applications
AU - Thomay, Christian
AU - Bodin, Ulf
AU - Isakovic, Haris
AU - Lasch, Rainer
AU - Race, Nicholas
AU - Schmittner, Christoph
AU - Schneider, Germar
AU - Szepessy, Zsolt
AU - Tauber, Markus
AU - Wang, Zhiping
PY - 2022/6/9
Y1 - 2022/6/9
N2 - We propose the AQUILA framework (Adaptive Quality Assurance in Industrial Applications), a concept for digitalization in Industry 4.0 to support the entire industrial manufacturing chain, laying the groundwork for adaptive quality assurance in times of disrupted supply chains and, due to the COVID-19 pandemic, restricted travel possibilities. To that end, our proposed framework allows for the definition and description of industrial processes, quality assurance and testing protocols, and training scenarios in a comprehensive notation based on BPMN, and supports users in task execution, documentation, and evaluation by providing smart glass-based HCI with eye tracking technology, delivering a combination of process documentation, context-sensitive AR visualization, gaze-based interaction schemes, and remote maintenance and assistance functionality.
AB - We propose the AQUILA framework (Adaptive Quality Assurance in Industrial Applications), a concept for digitalization in Industry 4.0 to support the entire industrial manufacturing chain, laying the groundwork for adaptive quality assurance in times of disrupted supply chains and, due to the COVID-19 pandemic, restricted travel possibilities. To that end, our proposed framework allows for the definition and description of industrial processes, quality assurance and testing protocols, and training scenarios in a comprehensive notation based on BPMN, and supports users in task execution, documentation, and evaluation by providing smart glass-based HCI with eye tracking technology, delivering a combination of process documentation, context-sensitive AR visualization, gaze-based interaction schemes, and remote maintenance and assistance functionality.
U2 - 10.1109/noms54207.2022.9789928
DO - 10.1109/noms54207.2022.9789928
M3 - Conference contribution/Paper
T3 - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022
SP - 1
EP - 6
BT - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022
A2 - Varga, Pal
A2 - Granville, Lisandro Zambenedetti
A2 - Galis, Alex
A2 - Godor, Istvan
A2 - Limam, Noura
A2 - Chemouil, Prosper
A2 - Francois, Jerome
A2 - Pahl, Marc-Oliver
PB - IEEE
ER -
