The Master of Science in Industrial Engineering at the University of Wisconsin–Madison prepares students to optimize complex systems in healthcare, manufacturing, logistics, and service industries. Students engage with modeling, analytics, operations research, and human-centered design to create efficient and sustainable systems that improve performance and productivity.
Optimization of Supply Chain Logistics Using Linear Programming
Simulation-Based Analysis of Hospital Patient Flow
Designing Ergonomic Workstations Using Motion Capture Data
Predictive Maintenance Scheduling in Smart Factories
Multi-Criteria Decision Making for Facility Location Planning
Queueing Theory Application in Airport Security Systems
AI-Driven Demand Forecasting for E-Commerce Warehousing
Lean Manufacturing Implementation and Waste Reduction Strategies
Energy Efficiency Optimization in Industrial Assembly Lines
Development of Digital Twin Models for Process Simulation
Scheduling Algorithms for Job Shop Manufacturing
Human Factors Evaluation in Autonomous Vehicle Interfaces
Inventory Control Optimization Using Reinforcement Learning
Design of User-Centered Dashboards for Manufacturing KPIs
Failure Mode and Effects Analysis (FMEA) in Healthcare Systems
Resilience Modeling of Critical Infrastructure Networks
Decision Support System for Emergency Response Logistics
Heuristic Algorithms for Workforce Scheduling Optimization
Capacity Planning Under Demand Uncertainty
Integration of IoT Data in Real-Time Production Monitoring
Gain technical and analytical skills to transform organizations through efficiency, sustainability, and smart system design.
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