Penn State’s MS in Industrial Engineering develops experts in systems design, operations research, quality control, and human-centered process improvement. Students build proficiency in simulation, optimization, ergonomics, and supply chain modeling. The curriculum is ideal for engineers aiming to streamline complex systems, enhance productivity, and integrate data science tools into decision-making processes across manufacturing, healthcare, and logistics.
Simulating hospital patient flow for wait time reduction
Developing a decision support tool for multi-criteria supplier selection
Modeling ergonomic workstation layouts for productivity and safety
Designing a Kanban system for lean warehouse management
Creating a predictive model for manufacturing equipment failure
Optimizing routing for last-mile delivery networks
Implementing Six Sigma quality control methods in a case study
Analyzing process variability in pharmaceutical production
Developing a visual dashboard for operations KPIs
Studying cognitive workload in assembly line workers
Designing a facility layout for a robotic manufacturing cell
Creating a simulation of a smart factory using digital twins
Evaluating human-computer interaction in control rooms
Building a workforce scheduling algorithm for a call center
Comparing system bottlenecks using discrete-event simulation
Lead operations, logistics, and human-centered system design through data-driven industrial engineering research.
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