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Publication

Sensor-Based Elicitation of Manual Assembly Processes

Sönke Knoch
In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 38, Pages 1-5, Springer, 9/2024.

Abstract

Cyber-physical systems in Industrie 4.0 enable the use of high-frequency machine data for the reactive control of assembly systems. In order for manual activities to be integrated into these new, highly dynamic processes and for flexible assembly activities to be optimally supported, automated recording of these activities becomes necessary. By linking activity recognition and process mining, manual assembly processes in assembly can automatically be mapped as a workflow using appropriate sensor technology. This enables improved production planning and control, whereby the individual needs of the employee can be addressed. Companies are thus able to implement the manufacturing of highly individualized products efficiently and attractively for employees in order to meet the challenges of the future competitively.