Towards Adaptive Quality Assurance in Industrial Applications

Thomay, Christian and Bodin, Ulf and Isakovic, Haris and Lasch, Rainer and Race, Nicholas and Schmittner, Christoph and Schneider, Germar and Szepessy, Zsolt and Tauber, Markus and Wang, Zhiping (2022) Towards Adaptive Quality Assurance in Industrial Applications. In: 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. ISBN 9781665406017

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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.