A Modeling Methodology Towards Digital Twin Development in Smart Factories for the Industry 4.0 Human Augmentation Experiments

Mahnaz Ensafi, Kereshmeh Afsari, Sahil Manoj Mehta, Niloufar Shadab, Alejandro Salado, Shahabedin Sagheb, Michael Kretser
Conference CIB W78 2021
Volume / Pages: 
pp. 845-854
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. The work cell focused on the integration of emerging technologies for human augmentation in Industry 4.0. First, the requirements for conceptual development of the work cell were identified. A physical space was then allocated and surveyed to develop the BIM model. Through simulation of the assembly line process, required components in the work cell, process duration, and interdependencies were identified. The simulation results can assist with identifying potential challenges to optimize the process in advance.