UC’s PhD in ORMS blends mathematical rigor with data science to design efficient, resilient systems in manufacturing, logistics, and services.
Column-generation algorithm scheduling airline crews under fatigue rules
Reinforcement-learning inventory policy reducing spoilage in perishables hubs
Robust network design minimizing disruption from extreme-weather events
Hybrid metaheuristic for 3-D bin-packing in automated fulfillment centers
Queueing-network model shortening wait times in emergency departments
Carbon-aware vehicle-routing optimization with real-time grid emissions
Game-theoretic study of cooperative drone delivery among retailers
Digital twin of port operations mitigating container bottlenecks
Stochastic frontier benchmarking for green manufacturing plants
Dynamic pricing experiment on EV charging during solar surplus periods
AI explainability dashboard for workforce-scheduling fairness metrics
Multi-objective optimization of humanitarian logistics under uncertainty
Blockchain smart contracts for transparent cocoa-supply payments
Policy memo on algorithmic accountability in gig-platform logistics
Simulation-based design of job-shop robots with AGV fleets
Data-driven maintenance scheduling of wind farms using survival analysis
Citizen-science hackathon generating bus-timetable improvements
Workshop teaching LP with open-source solvers to non-profits
White paper on OR contributions to circular-economy logistics
Conference on equity considerations in algorithmic operations
Optimize decisions and drive efficiency with UC’s analytics-powered PhD.
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