Supply Chain Analytics in Python

Supply Chain Analytics can transform supply chain activities from guessing to those who make data-driven decisions. Supply Chain Analytics is a vital tool for optimization analysis. It helps in decision making. According to Deloitte, 79% of companies that have highly-performing supply chains experience revenue growth that is significantly greater than the average. This course will show you how to use PuLP (a Python-based Linear Program Optimizer modeler). This course will show you how to use PuLP for Supply Chain Optimization questions such as where a production facility should be located or how to distribute production demand across multiple facilities. We will analyze the consequences of the models through simulation and sensitivity testing. This course will teach you how to use Python or PuLP to improve supply-chain decision making.