The project introduces a novel framework for modern smart factories by centering digital workflows directly around human operators. The platform utilizes graph-native architectures to map complex, multi-dimensional dependencies between machinery, digital processes, and human actions. This flexible network representation allows the manufacturing environment to remain highly adaptive, automatically adjusting production parameters and optimizing resource allocation when encountering operational variations or human behavioral shifts. By bridging the gap between rigid automated infrastructure and dynamic human decision-making, the framework fosters a more resilient, efficient, and collaborative digital production ecosystem.
Application/demonstration
The planned demonstration involves fabricating and validating a mechatronic linear actuator platform at Mill 19 to showcase how an executable system model automatically adapts and reallocates manufacturing pathways under changing resource and requirement constraints.
