Assembly operations in the automotive industry represent a substantial proportion of overall manufacturing time and total manufacturing cost. With product complexity increasing year after year, humans continue to remain a cost-effective solution to the needs of flexible manufacturing. The human element is largely marginalized in Manufacturing 2.0 and necessitates a better understanding of the human's impact on the future of manufacturing. The work herein illustrates a method through the use of the Industrial Internet of Things (IIoT) to capture ubiquitous data streams from human and automated machinery with the intention to make available the data necessary and elucidate the potential to deepen the understanding of the human impact on Industry 4.0 assembly systems.
Krugh, M., McGee, E., McGee, S., Mears, L., Ivanco, A., Podd, K. C., & Watkins, B. (2017). Measurement of Operator-machine Interaction on a Chaku-chaku Assembly Line. Procedia Manufacturing, 10, 123–135. https://doi.org/10.1016/j.promfg.2017.07.039