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  4. Recording Data on Production Disruptions: Usability and Data Quality
 
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2022
Journal Article
Title

Recording Data on Production Disruptions: Usability and Data Quality

Abstract
This research presents an application to capture production disruptions, e.g. missing parts or machine breakdowns, in the manual assembly of complex products and systems (CoPS). We validate the usability of this application by measuring time performance, potential resulting data accuracy, and user experience. The presented results stem from a single case study. This research conducts 51 usability tests. We show that the presented application has the potential to achieve a level of data accuracy above 97 % and a level of user experience rated as “good” by the user experience questionnaire. The application is now in operational use at a manufacturer of CoPS.
Author(s)
Breiter, Stephan
Gottwald, Jonas
Arlinghaus, Julia  
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Journal
IFAC-PapersOnLine  
Conference
Conference on Manufacturing Modelling, Management and Control 2022  
Open Access
DOI
10.1016/j.ifacol.2022.09.475
Additional link
Full text
Language
English
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
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