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Samir Saci
2021-11-02 16:52:35 +01:00
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@ -169,7 +169,7 @@ At each step, we have a collection of parameters that can be tuned to improve pe
#### **Comparing three methods of wave creation**
<p align="center">
<img align="center" src="static/img/wave_creation.png" width=100%>
<img align="center" src="static/img/wave_creation.png" width=75%>
</p>
We’ll start first by assessing the impact of Order Wave processing by clusters of picking locations on total walking distance.
@ -194,7 +194,7 @@ We’ll be testing three different methods:
# Build the application locally 🏗️
Because the calculations are
Because the ressources provided by Streamlit cloud or Heroku are limited, I would suggest to run this application locally.
## **Build a python local environment (recommanded)**
@ -241,7 +241,7 @@ This Streamlit Web Application has been designed for **Supply Chain Engineers**
## Experiment 1
<p align="center">
<img align="center" src="static/img/params_1.PNG" width=50%>
<img align="center" src="static/img/params_1.PNG" width=75%>
</p>
### **Step 1: Scope**
@ -255,14 +255,14 @@ Click the button to start the calculations
### **Final Results**
<p align="center">
<img align="center" src="static/img/batch_experiment_final.png" width=50%>
<img align="center" src="static/img/batch_experiment_final.png" width=75%>
</p>
💡 This is the same graph with the one presented in the article
## Experiment 2
<p align="center">
<img align="center" src="static/img/params_2.png" width=50%>
<img align="center" src="static/img/params_2.png" width=75%>
</p>
### **Step 1: Scope**