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https://github.com/assem-elqersh/inventory-optimization-models

Python-based library for inventory optimization and cost calculation using various models. Includes EOQ, Wagner-Whitin, Silver-Meal, Least Unit Cost, Lot-for-Lot, and other heuristics with a user-friendly GUI for visualization, and will be further improved to accept data from json files as an input.
https://github.com/assem-elqersh/inventory-optimization-models

eoq heuristics inventory-control inventory-management lot-sizing supply-chain wagner-whitin

Last synced: 4 months ago
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Python-based library for inventory optimization and cost calculation using various models. Includes EOQ, Wagner-Whitin, Silver-Meal, Least Unit Cost, Lot-for-Lot, and other heuristics with a user-friendly GUI for visualization, and will be further improved to accept data from json files as an input.

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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.