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  4. Disruption data collection in low-volume, complex product assembly
 
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2021
Journal Article
Title

Disruption data collection in low-volume, complex product assembly

Abstract
Disruptions impair the assembly performance of almost any manufacturer of low-volume, complex products (LVCP). This research combines a literature review and a single case study at a LVCP manufacturer to investigate how disruption data collection methods impact an effective disruption management. At the LVCP manufacturer at stake, LVCP are built in a manual assembly and most disruption data stems from manual, event-based data collection methods. Our findings suggest that the following factors favour effective disruption management in the manual assembly of LVCP: trained disruption detection and disruption interpretation processes for operators, awareness of the importance of correct data entries and an efficient design of the human-machine interaction when gathering data.
Author(s)
Breiter, Stephan
Arlinghaus, Julia  
Journal
IFAC-PapersOnLine  
Conference
Symposium on Information Control Problems in Manufacturing (INCOM) 2021  
Open Access
DOI
10.1016/j.ifacol.2021.08.009
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Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
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