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Towards Adaptive Quality Assurance in Industrial Applications

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  • Christian Thomay
  • Ulf Bodin
  • Haris Isakovic
  • Rainer Lasch
  • Nicholas Race
  • Christoph Schmittner
  • Germar Schneider
  • Zsolt Szepessy
  • Markus Tauber
  • Zhiping Wang
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Publication date9/06/2022
Host publicationProceedings 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
EditorsPal Varga, Lisandro Zambenedetti Granville, Alex Galis, Istvan Godor, Noura Limam, Prosper Chemouil, Jerome Francois, Marc-Oliver Pahl
PublisherIEEE
Pages1-6
Number of pages6
ISBN (electronic)9781665406017
<mark>Original language</mark>English

Publication series

NameProceedings 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

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.