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inventory-optimizer

Python CI Coverage License: MIT

Optimizacion de inventario bajo demanda incierta con enfoque clasico Newsboy y variante robusta.

Ecuacion central

[ Q^* = F_D^{-1}\left(\frac{p}{p+h}\right) ]

Demo rapida

from inventory_optimizer import NewsboyOptimizer

opt = NewsboyOptimizer(holding_cost=1.0, shortage_cost=4.0)
opt.fit(("normal", 100.0, 20.0))
print(round(opt.optimal_order(), 2))

Visualizaciones

  • docs/images/pareto.png
  • docs/images/sensitivity.png
  • docs/images/walk_forward.png
  • docs/images/convergence.png

Pareto Sensitivity

Instalacion

pip install -e ".[dev]"

Estructura

  • src/inventory_optimizer: libreria principal
  • tests: pruebas unitarias
  • examples: ejemplos ejecutables
  • notebooks: tutoriales interactivos
  • docs: documentacion MkDocs

Estado

  • v0.1.0: implementacion base clasica, robusta simplificada, simulacion, validacion temporal y CI.

Contribuir

Ver CONTRIBUTING.md.

Metadata

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