JuMP Demo (GAMS -> Julia style)

This is a minimal end-to-end demo showing a "smart" data pipeline for a cost-minimization model in Julia using JuMP.

What it shows

• CSV inputs for cost, cap, demand, arcs
• YAML config for scenarios (baseline, optimistic)
• Clean module layout: src/ with build_model.jl, solve_report.jl
• One command to run and auto-install dependencies

How to run

1. Install Julia (>= 1.10).
2. In a terminal:

cd jump-demo
julia run_demo.jl baseline
# or
julia run_demo.jl optimistic

This script will:

• create/activate a local environment,
• install JuMP/HiGHS/CSV/DataFrames/YAML if needed,
• build & solve the model,
• write results to ./results/:
  • flows.csv
  • open_plants.csv
  • objective.csv

Files

• data/ — CSV tables (tidy)
• config/model.yml — scenario file paths and solver time limit
• src/ — model code
• run_demo.jl — entry point

Extend it

• Add time periods t columns to CSVs, then index Dicts by (i,j,t).
• Add more constraints in build_model.jl following the same pattern.
• Swap solver: change HiGHS.Optimizer to Gurobi.Optimizer (and add Gurobi package).