Live Lab 2 is focused on manufacturing operations in a large-scale automotive plant.
The project will collect data during manufacturing and model the human operator’s performance versus task complexity. The objective is to exploit this data to optimize human performance while simultaneously predicting anomalies and scheduling maintenance events. Despite increasing automation, the manufacturing sector is still widely based on human operations. Human operators still play a crucial role in many aspects of the industry. This is because manufacturing processes often require a high degree of flexibility and adaptability, which can be difficult for machines to replicate.
Additionally, human operators can make judgments and decisions based on their experience and expertise, which can be valuable in ensuring the quality and efficiency of manufacturing processes. As a result, the manufacturing sector will likely continue to rely on human operators for the foreseeable future. The automotive sector, for instance, is based on assembly lines, where the automation process is becoming increasingly complex.
However, as automation technology has advanced, assembly lines have become much more complex, with robots and other automated systems performing various tasks. As a result, different operators contribute to assembly products requiring different operational capabilities and a multi-faceted approach for analysing critical-safety procedures and making technological decisions.