The PhD in Industrial Engineering at the University of Wisconsin–Madison equips researchers with tools to analyze, design, and optimize complex systems in manufacturing, logistics, health, and service industries. Students engage in research that integrates operations research, systems engineering, human factors, and data science to address global challenges.
Optimization of Multi-Echelon Supply Chain Networks
Simulation-Based Scheduling in Smart Manufacturing
Human-Centered Design in Industrial Workstations
Data-Driven Decision-Making in Healthcare Operations
Predictive Maintenance Using Industrial IoT Sensor Data
Linear Programming Models for Transportation Logistics
Ergonomic Assessment Tools Using Wearable Devices
Sustainable Systems Design in Circular Manufacturing
Machine Learning for Quality Control in Assembly Lines
Design of Resilient Production Systems Under Uncertainty
Energy Efficiency Optimization in Industrial Processes
Human Factors in Autonomous Vehicle Interface Design
Stochastic Modeling of Inventory and Demand Variability
Digital Twin Applications in Real-Time Operations
Discrete Event Simulation of Hospital Emergency Flows
Multi-Criteria Decision Analysis in Vendor Selection
Adaptive Scheduling Algorithms for Mass Customization
Systems Engineering of Disaster Response Logistics
Real-Time Data Visualization Dashboards for Operations
Optimization of Last-Mile Delivery in Urban Areas
Contribute to innovation and optimization in industries and services through systems thinking and engineering research.
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