A Modeling Methodology Towards Digital Twin Development in Smart Factories for the Industry 4.0 Human Augmentation Experiments
Due to the rapid changes in the production environment and level of task complexity, workers are faced with more knowledge-intensive tasks requiring higher order thinking and better decision-making. Digital Twin has been identified as a promising technology for addressing the challenges of smart factories by integrating physical and virtual spaces allowing data simulation and performance enhancement. The goal of this research is to simulate a manufacturing assembly line work cell using BIM-enabled digital twinning methodology.