Intelligent Material Handling and Automation

Catalog description

This course focuses on the design and implementation of automated material handling systems in manufacturing and logistics. Topics include automated conveyor networks, robotic material transport, automated guided vehicles (AGVs), sensor-driven process optimization, and smart warehouse technologies. Students will analyze real-world automation scenarios and utilize simulation tools to design efficient material flow systems. 2 Lec, 1 Lab. Prerequisite: ENT 333 or Equivalent, ENT 296 , or instructor permission.