https://github.com/shaniggj/optimizing-warehouse-efficiency-via-python-based-order-batching
This project helps reduce walking time in warehouses using a Python tool that simulates picking routes. Users can test strategies like wave picking and clustering on a 2D layout to find the most efficient method.
https://github.com/shaniggj/optimizing-warehouse-efficiency-via-python-based-order-batching
app clustering data-visualisation logistics order-batching order-picking-optimization python route-optimization routing-problem simulation single-picker supply-chain tsp warehouse-optimization
Last synced: 5 months ago
JSON representation
This project helps reduce walking time in warehouses using a Python tool that simulates picking routes. Users can test strategies like wave picking and clustering on a 2D layout to find the most efficient method.
- Host: GitHub
- URL: https://github.com/shaniggj/optimizing-warehouse-efficiency-via-python-based-order-batching
- Owner: shaniggj
- License: mit
- Created: 2025-04-15T03:15:39.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-04-15T05:18:00.000Z (9 months ago)
- Last Synced: 2025-04-15T05:28:03.066Z (9 months ago)
- Topics: app, clustering, data-visualisation, logistics, order-batching, order-picking-optimization, python, route-optimization, routing-problem, simulation, single-picker, supply-chain, tsp, warehouse-optimization
- Language: Python
- Size: 1.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0