Linear Programming for Resource Allocation
summary
A linear program models open days versus mobile clinics across 39 districts and up to four quarterly timepoints, turning an intractable 2^312 brute force planning problem into a solvable optimization. The pipeline uses Julia + JuMP + CBC for the solver and Python for data plumbing and maps. The deliverable is per‑district quarterly assignment maps and budgets; historical validation shows meeting coverage targets while cutting modeled implementation cost by about 40% cost reduction versus the 2022 plan.
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chapters (8)
- 0:00Linear programming intro
- 2:06Problem in Togo
- 5:45Brute force fails
- 10:21What is linear programming
- 14:40Julia and Python implementation
- 19:37Map visualization
- 21:41Key lessons
- 24:49Team and project
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