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Samir Saci 2023-02-11 14:57:36 +01:00 committed by GitHub
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@ -21,6 +21,11 @@ Your network may lose robustness, especially if you have a very high seasonality
### Article
In this [Article](https://www.samirsaci.com/robust-supply-chain-networks-with-monte-carlo-simulation/), we will build a simple methodology to design a **Robust Supply Chain Network** using **Monte Carlo** simulation with Python.
### Youtube Video
Click on the image below to access a full tutorial video to understand the concept behind this solution
<div align="center">
<a href="https://www.youtube.com/watch?v=gF9ds3CH3N4"><img src="https://i.ytimg.com/an_webp/gF9ds3CH3N4/mqdefault_6s.webp?du=3000&sqp=CJCznp8G&rs=AOn4CLAeCt7MhEf1GfKwsMM2op2vjDwdlQ" alt="Explainer Video Link"></a>
</div>
### Scenario
As the Head of Supply Chain Management of an international manufacturing company, you want to redefine the Supply Chain Network for the next 5 years.