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Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs. From Samir Saci
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README.md

Supply Chain Optimization with Python 👷

Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs

Article

In this Article, we will present a simple methodology using Linear Programming for Supply Chain Optimization considering - Fixed production costs of your facilities (/Month) - Variable production costs per unit produced (/Unit) - Shipping costs ($) - Customer’s demand (Units)

Youtube Video

Click on the image below to access a full tutorial to understand the concept behind this solution

Video Link

Problem Statement

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 considering the recent increase in shipping costs and the forecasts of future demand.

Code

This repository code you will find all the code used to explain the concepts presented in the article.

About me 🤓

Senior Supply Chain Engineer with an international experience working on Logistics and Transportation operations.
Have a look at my portfolio: Data Science for Supply Chain Portfolio
Data Science for Warehousing📦, Transportation 🚚 and Demand Forecasting 📈