Assembly assistance systems store data for quality assurance. Data analysis of process steps that can lead to production errors through error propagation does not exist yet. OptiAssist develops an AI-based system for identifying anomalies in the assembly process through unsupervised learning; after that, the effort of the assembly operations is reweighted in the priority graph. Based on optimization, an expert system suggests process changes to the process planner on appropriate dashboards. To increase user acceptance, strategies are developed for a suitable time to reschedule the assembly process.
Contact persons:
D. Schweers
(Project manager)
H. Engbers
Funded by:
Land Bremen / FEI
Duration:
01.04.2023 - 30.12.2024
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