Columbia University’s Operations Research program empowers students to develop mathematical models that drive intelligent decisions across industries. These project ideas explore real-world applications in logistics, resource management, scheduling, finance, and system simulation.
Linear Programming for Optimal Resource Allocation
Inventory Optimization Using Stochastic Demand Models
Game Theory Analysis for Competitive Market Strategies
Dynamic Programming for Route Optimization in Delivery Services
Simulation Modeling of Call Center Performance
Scheduling Optimization for University Exam Timetables
Queuing Network Models for Supermarket Checkout Systems
Markov Chains Application in Customer Retention Modeling
Network Flow Optimization in Transportation Logistics
Decision Tree Analysis for Investment Portfolios
Monte Carlo Simulation for Financial Risk Assessment
Vehicle Routing Problem with Time Windows and Constraints
Multi-Objective Optimization in Manufacturing Planning
Auction Theory and Bidding Strategy Simulation
Optimal Pricing Strategy Using Demand Elasticity Models
Healthcare Resource Allocation Using Operations Research
Facility Location Problem Solving with Greedy Heuristics
Sensitivity Analysis in LP Models Using Excel Solver
Airline Crew Scheduling Using Integer Programming
Operations Research in Disaster Response Logistics
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