Find your Dream Job in Supply Chain Analytics - Create your Portfolio!
A practical guide for aspiring data scientists to create impactful, real-world supply chain analytics projects using case studies shared in this blog.
Supply Chain Optimization
Optimize the Flow of Goods with Network Design, Planning Optimization, Process Mining and Modelisation Tools like Digital Twins.
What is EDI? Electronic Data Interchange
Explore how Electronic Data Interchange (EDI) facilitates modern supply chain management.
What is Process Mining?
Process mining is the application of data analytics tools and concepts to understand, validate and improve workflows.
What Is a Supply Chain Digital Twin?
Use python to create a model representing your supply chain network to optimize your operations and support strategic decisions.
What is Supply Chain Analytics?
Use data analytics with python to improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels
Production Fixed Horizon Planning with Python
Implement the Wagner-Whitin algorithm to minimize the total costs of production given a set of constraints.
Supply Chain Process Optimization Using Linear Programming
Understand how linear programming can be the most powerful tool for a supply chain continuous improvement engineer.
Robust Supply Chain Networks with Monte Carlo Simulation
In this article, we will build a simple methodology to design a Robust Supply Chain Network using Monte Carlo simulation with Python.
Supply Planning using Linear Programming with Python
Where do you need to allocate your stock to meet customers demand and reduce your transportation costs?
Raw Materials Optimization for Food Manufacturing with Python
Use linear programming to create an optimal recipe for a cheap meal bar that meets specific nutritional requirements