Ohio State’s MS in Industrial and Systems Engineering prepares students to solve complex operational problems through data analysis, systems thinking, and optimization. The program explores areas such as manufacturing systems, ergonomics, logistics, healthcare operations, and human–computer interaction. Students gain expertise in simulation, quality engineering, operations research, and decision support systems. With a focus on productivity and safety, graduates drive innovation in industry, government, and research.
Optimizing hospital operating room scheduling using mixed-integer programming
Designing an ergonomic workstation assessment tool for remote workers
Simulation-based analysis of last-mile delivery route efficiency
Developing a predictive model for equipment failure in automated warehouses
Designing decision support systems for triage prioritization in emergency care
Lean Six Sigma implementation roadmap for mid-sized manufacturing firms
Human reliability analysis in nuclear power plant control rooms
Queueing theory analysis for reducing patient wait times in urgent care
Developing digital twins for predictive maintenance in manufacturing lines
Multi-criteria decision analysis for supplier selection under uncertainty
Modeling pedestrian evacuation in large stadiums using agent-based simulation
Developing workload balancing algorithms for cloud-based production lines
Creating a resilience scorecard for logistics networks during disruptions
Statistical process control implementation in additive manufacturing
Studying cognitive load and alert fatigue in digital health dashboards
Designing optimal staff shift schedules for retail chains using stochastic modeling
Inventory control model for perishables using real-time sales data
Analyzing customer flow patterns in theme parks using IoT tracking data
Developing a gamified training tool for quality control inspectors
Using VR for immersive training in high-risk industrial environments
Optimize systems, safety, and performance with OSU’s ISE master’s program.
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