Research

Today’s manufacturing system is observed to be interdependent and constantly emerging, in fact acting as an ecosystem. To design a smart factory, a translation is required from a physical to a digital domain, where the physical manufacturing system is simulated with a virtual factory model using discrete-event and/or agent-based simulation. The focus of this activity will be to introduce students to the current simulation software (Anylogic/SIMIO) pertaining to the manufacturing domain, in providing a rapid modeling capability for reporting, analyzing, and predicting smart factories. 

Students will be able to design smart factories by using the four discrete-event paradigms evolved in simulation (i.e., events, processes, objects and agent-based modeling), and interpret simulation results to identify and solve problems in manufacturing. For an immersive learning experience, the simulation models developed will be developed to facilitate real-time analysis for remorse optimization and allocation.