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Inventory Optimization Models

This repository provides a comprehensive Python library for inventory optimization and cost calculation using several models. It includes both classic and heuristic approaches, as well as a GUI for interactive analysis and visualization.

Features

  • EOQ Model: Economic Order Quantity for time-varying demand.
  • Wagner-Whitin Model: Optimal lot-sizing using dynamic programming.
  • Silver-Meal Heuristic: A cost-effective approach for lot-sizing.
  • Least Unit Cost Heuristic: Minimize costs per unit over a planning horizon.
  • Lot-for-Lot Model: Simplified approach matching order sizes to demand.
  • Part-Period Balancing: Align order sizes to balance setup and carrying costs.
  • Three-Month Replenishment Model: Fixed interval replenishment strategy.
  • EOQ Time Supply Model: A time-based interpretation of EOQ.

The repository also features a GUI for easy interaction and plotting of inventory and cost metrics.