MCP Server Supply Chain Optimisation - Output Params

output_params.py

{
  "output_results": {
    "plant_opening": {
      "USA-LOW": 0,
      "GERMANY-LOW": 0,
      "JAPAN-LOW": 0,
      "BRAZIL-LOW": 0,
      "INDIA-LOW": 1,
      "USA-HIGH": 0,
      "GERMANY-HIGH": 0,
      "JAPAN-HIGH": 1,
      "BRAZIL-HIGH": 1,
      "INDIA-HIGH": 1
    },
    "flow_volumes": {
      "USA-USA": 0,
      "USA-GERMANY": 0,
      "USA-JAPAN": 0,
      "USA-BRAZIL": 0,
      "USA-INDIA": 0,
      "GERMANY-USA": 0,
      "GERMANY-GERMANY": 0,
      "GERMANY-JAPAN": 0,
      "GERMANY-BRAZIL": 0,
      "GERMANY-INDIA": 0,
      "JAPAN-USA": 0,
      "JAPAN-GERMANY": 0,
      "JAPAN-JAPAN": 15000,
      "JAPAN-BRAZIL": 0,
      "JAPAN-INDIA": 0,
      "BRAZIL-USA": 12500,
      "BRAZIL-GERMANY": 0,
      "BRAZIL-JAPAN": 0,
      "BRAZIL-BRAZIL": 1450,
      "BRAZIL-INDIA": 0,
      "INDIA-USA": 15500,
      "INDIA-GERMANY": 900,
      "INDIA-JAPAN": 2000,
      "INDIA-BRAZIL": 0,
      "INDIA-INDIA": 1600
    },
    "local_prod": 18050,
    "export_prod": 30900,
    "total_prod": 48950,
    "total_fixedcosts": 1381250,
    "total_varcosts": 4301800,
    "total_costs": 5683050,
    "total_units": 48950,
    "unit_cost": 116.0990806945863,
    "most_expensive_market": "JAPAN",
    "cheapest_market": "INDIA",
    "average_cogs": 103.6097067006946,
    "unit_energy": 722.4208375893769,
    "unit_water": 3318.2839632277833,
    "unit_waste": 0.6153217568947906,
    "unit_co2": 155.71399387129725
  }
}