Ranked #1 for decades, Georgia Tech’s Industrial Engineering BS equips students to streamline everything—hospital patient flow, e-commerce fulfillment, and autonomous-vehicle fleets. Core courses in stochastic modeling, optimization, and human-systems design culminate in capstones with UPS, Delta, and CDC logistics centers. Students build digital twins in AnyLogic, code reinforcement-learning schedulers, and apply VR ergonomics testing, graduating ready to slash waste and elevate experience in smart factories and service systems alike.
Reinforcement-learning picker-route optimization in automated warehouses
Digital twin of hospital OR scheduling to minimize patient wait times
Last-mile drone-fleet routing under stochastic demand profiles
Human-in-the-loop cobot workstation layout reducing musculoskeletal load
Real-time port container-yard congestion prediction with computer vision
Carbon-footprint optimization of global e-commerce shipping modes
Optimization of vaccine cold-chain logistics for rural clinics
Dynamic pricing and inventory-allocation model for perishables
AI-enabled predictive maintenance schedule for smart factories
Simulation of crowd-flow management in stadium evacuations
Fairness-aware ride-hailing dispatch algorithm balancing driver earnings
Ergonomic assessment of exoskeletons in automotive assembly lines
Resilience modeling of semiconductor supply chains to geopolitical shocks
VR training environment for lean manufacturing principles
Optimization toolkit for energy-efficient HVAC operation on campus
Engineer efficiency and resilience across global systems.
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