Columbia University's IEOR program blends industrial systems thinking with mathematical rigor and data-driven problem-solving. These research ideas offer practical insights into operations optimization, simulation, forecasting, and strategic decision support in engineering systems.
Supply Chain Network Design Using Mixed Integer Programming
Stochastic Modeling for Inventory Control Optimization
Queueing Theory Analysis in Multi-Server Systems
Discrete Event Simulation for Airport Operations
Lean Manufacturing Implementation in SME Environments
Data-Driven Scheduling System for Production Planning
Machine Learning in Predictive Maintenance Planning
Design of a Dynamic Pricing Model for E-Commerce
Simulation of Emergency Room Operations for Efficiency
Heuristic Algorithms for Vehicle Routing Problems
Optimization of Warehousing Layout Using Simulation Tools
Resource Allocation Model for Renewable Energy Projects
Decision Tree Modeling for Customer Churn Prediction
Forecasting Demand Using Time Series and ARIMA Models
Optimization of Call Center Staffing Using Queuing Models
Inventory Forecasting for Perishable Goods
Logistics Optimization in Disaster Relief Supply Chains
Multi-Criteria Decision Making in Vendor Selection
Bottleneck Identification in Assembly Lines Using VSM
Carbon Emission Reduction Planning in Industrial Systems
Collexa supports IEOR students with simulation tools (Arena, Simio), optimization models (Gurobi, CPLEX), analytics dashboards, and operational research documentation.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
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