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README.md
10
README.md
@ -169,7 +169,7 @@ At each step, we have a collection of parameters that can be tuned to improve pe
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#### **Comparing three methods of wave creation**
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#### **Comparing three methods of wave creation**
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<p align="center">
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<p align="center">
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<img align="center" src="static/img/wave_creation.png" width=100%>
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<img align="center" src="static/img/wave_creation.png" width=75%>
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</p>
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</p>
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We’ll start first by assessing the impact of Order Wave processing by clusters of picking locations on total walking distance.
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We’ll start first by assessing the impact of Order Wave processing by clusters of picking locations on total walking distance.
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@ -194,7 +194,7 @@ We’ll be testing three different methods:
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# Build the application locally 🏗️
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# Build the application locally 🏗️
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Because the calculations are
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Because the ressources provided by Streamlit cloud or Heroku are limited, I would suggest to run this application locally.
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## **Build a python local environment (recommanded)**
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## **Build a python local environment (recommanded)**
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@ -241,7 +241,7 @@ This Streamlit Web Application has been designed for **Supply Chain Engineers**
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## Experiment 1
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## Experiment 1
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<p align="center">
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<p align="center">
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<img align="center" src="static/img/params_1.PNG" width=50%>
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<img align="center" src="static/img/params_1.PNG" width=75%>
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</p>
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</p>
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### **Step 1: Scope**
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### **Step 1: Scope**
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@ -255,14 +255,14 @@ Click the button to start the calculations
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### **Final Results**
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### **Final Results**
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<p align="center">
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<p align="center">
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<img align="center" src="static/img/batch_experiment_final.png" width=50%>
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<img align="center" src="static/img/batch_experiment_final.png" width=75%>
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</p>
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</p>
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💡 This is the same graph with the one presented in the article
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💡 This is the same graph with the one presented in the article
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## Experiment 2
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## Experiment 2
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<p align="center">
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<p align="center">
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<img align="center" src="static/img/params_2.png" width=50%>
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<img align="center" src="static/img/params_2.png" width=75%>
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</p>
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</p>
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### **Step 1: Scope**
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### **Step 1: Scope**
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