Striving to integrate Industry 4.0 principles into Quinnipiac University’s Industrial Engineering curriculum, the team is focused on enhancing hands-on learning through advanced automation and digital tools. By incorporating Simulation, Task Scheduling, Data Collection/Management, Visual Management, Digital Twin Technology and Robot Programming, the project aims to create a robust framework for future industrial engineering courses.
The initiative centers around the Yumi IRB 14000, MiR 100 and an additional robot arm for the UR10e robot, which will automate assembly, transport, disassembly, sorting and storage processes within a simulated manufacturing environment to model U.S. Army “Meal-Ready-to-Eat” (MRE) assembly processes. Bridging the gap between theoretical knowledge and practical application, the project also addresses key challenges such as system compatibility, programming complexities and operational efficiency. This initiative will enhance the university’s ability to demonstrate Industry 4.0 technologies to current and prospective students.
Student Team Members: Thomas Hopkins, Kyle Yusi, Derrick Zevola
Adviser: Justin Kile
Client: School of Computing & Engineering