Optimization
Integer Programming for Planning Decisions
Implemented optimization models and decomposition workflows to structure complex planning and resource-allocation problems.
Timeline
2021 - 2024
Impact Focus
Reusable decomposition-ready models for structured planning problems
Core Tools
GAMS, Integer Programming, Decomposition Methods
Problem
Complex planning decisions required formal optimization models rather than ad-hoc heuristics or spreadsheet-based reasoning.
What I did
Built and documented model formulations, decomposition-based solution strategies, and reusable artifacts for future experiments and teaching.
Result
Produced a reusable optimization toolkit that clarifies how different formulations and decomposition methods support structured planning decisions.
What changed
- - Converted abstract planning questions into formal optimization models
- - Documented multiple solution strategies side by side for comparison
- - Created reference artifacts reusable for teaching and prototyping
Deliverables
- - Integer model formulations in GAMS
- - Worked examples for Benders, Branch-and-Bound, and Dantzig-Wolfe
- - Reference materials for future planning studies and prototypes
Stack
GAMS
Integer Programming
Decomposition Methods