UC’s MS in ORMS merges mathematical rigor with data science to design efficient, resilient systems across manufacturing, logistics, and services.
Column-generation algorithm scheduling airline crews under new fatigue rules
Reinforcement-learning inventory policy lowering spoilage in perishable hubs
Robust network design minimizing disruption from extreme-weather events
Hybrid metaheuristic for 3D bin-packing in automated fulfillment centers
Queuing network model reducing patient LOS in emergency departments
Carbon-aware vehicle-routing optimization incorporating real-time grid emissions
Game theory study of cooperative drone delivery across competing retailers
Digital twin of port operations to mitigate container bottlenecks
Stochastic frontier benchmarking for green manufacturing plants
Dynamic pricing experiment on EV charging with rooftop PV surplus
AI explainability dashboard for workforce scheduling fairness metrics
Multi-objective optimization of humanitarian logistics under uncertain demand
Blockchain smart contracts for transparent cocoa supply-chain payments
Policy memo on algorithmic accountability in last-mile gig platforms
Simulation-based design of flexible job-shop robots with AGV fleets
Data-driven maintenance scheduling of wind turbines using survival analysis
Citizen-science hackathon crowdsourcing bus timetable improvements
Workshop teaching small nonprofits linear programming via open-source solvers
White paper on OR contributions to circular-economy logistics
Conference on equity considerations in algorithmic operations management
Optimize decisions and drive efficiency with UC’s analytics-powered MS.
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