1. Towards Adaptive Quality Assurance in Industrial Applications
- Author
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Varga, Pal, Granville, Lisandro Zambenedetti, Galis, Alex, Godor, Istvan, Limam, Noura, Chemouil, Prosper, Francois, Jerome, Pahl, Marc-Oliver, Thomay, Christian, Bodin, Ulf, Isakovic, Haris, Lasch, Rainer, Race, Nicholas, Schmittner, Christoph, Schneider, Germar, Szepessy, Zsolt, Tauber, Markus, Wang, Zhiping, Varga, Pal, Granville, Lisandro Zambenedetti, Galis, Alex, Godor, Istvan, Limam, Noura, Chemouil, Prosper, Francois, Jerome, Pahl, Marc-Oliver, Thomay, Christian, Bodin, Ulf, Isakovic, Haris, Lasch, Rainer, Race, Nicholas, Schmittner, Christoph, Schneider, Germar, Szepessy, Zsolt, Tauber, Markus, and Wang, Zhiping
- 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.
- Published
- 2022