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README.md
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README.md
@ -16,9 +16,9 @@ SPRP is a specific application of the general **Traveling Salesman Problem (TSP)
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This repo contains a ready-to-use **Streamlit App** designed for **Logistics Engineers** to test these different strategies by only uploading their own dataset of order line records.
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### Understand the theory behind 📜
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- Improve Warehouse Productivity using Order Batching with Python - [Article](https://towardsdatascience.com/optimizing-warehouse-operations-with-python-part-1-83d02d001845)
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- Improve Warehouse Productivity using Spatial Clustering with Python Scipy - [Article](https://towardsdatascience.com/optimizing-warehouse-operations-with-python-part-2-clustering-with-scipy-for-waves-creation-9b7c7dd49a84)
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- Design Pathfinding Algorithm using Google AI to Improve Warehouse Productivity - [Article](https://towardsdatascience.com/optimizing-warehouse-operations-with-python-part-3-google-ai-for-sprp-308c258cb66f)
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- Improve Warehouse Productivity using Order Batching with Python - [Article](https://medium.com/towards-data-science/optimizing-warehouse-operations-with-python-part-1-83d02d001845)
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- Improve Warehouse Productivity using Spatial Clustering with Python Scipy - [Article](https://medium.com/towards-data-science/optimizing-warehouse-operations-with-python-part-2-clustering-with-scipy-for-waves-creation-9b7c7dd49a84)
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- Design Pathfinding Algorithm using Google AI to Improve Warehouse Productivity - [Article](https://medium.com/towards-data-science/optimizing-warehouse-operations-with-python-part-3-google-ai-for-sprp-308c258cb66f)
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# Picking Route Optimization 🚶♂️
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@ -43,7 +43,7 @@ Every storage location must be linked to a Reference using Master Data. (For ins
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Order lines can be extracted from your WMS Database. This table should be joined with the Master Data table to link every order line to a storage location and coordinate its (x, y) in your warehouse. Extra tables can be added to include more parameters in your model like (Destination, Delivery lead time, Special Packing, ..).
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## 🧪 **Experiment 1: Impacts of wave picking on the pickers' walking distance?**
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_For more information and details about calculation: [Medium Article](https://towardsdatascience.com/optimizing-warehouse-operations-with-python-part-1-83d02d001845)_
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_For more information and details about calculation: [Medium Article](https://medium.com/towards-data-science/optimizing-warehouse-operations-with-python-part-1-83d02d001845)_
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### ✔️ Problem Statement
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@ -141,7 +141,7 @@ To estimate the impact of wave picking strategy on your productivity, we will ru
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## 🧮**Experiment 2: Impacts of orders batching using spatial clusters of picking locations?**
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_For more information and details about calculation: [Article](https://towardsdatascience.com/optimizing-warehouse-operations-with-python-part-2-clustering-with-scipy-for-waves-creation-9b7c7dd49a84)
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_For more information and details about calculation: [Article](https://medium.com/towards-data-science/optimizing-warehouse-operations-with-python-part-2-clustering-with-scipy-for-waves-creation-9b7c7dd49a84)
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<p align="center">
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