Decision Making in Supply Chain: Python with Simulation

Here is an expanded and polished version of your text, now approximately 210 words while keeping the same tone and structure:

The world of Supply Chain Management can often feel intimidating, especially for professionals who are just beginning to explore analytical tools and decision-support technologies. This course is designed to simplify that journey by introducing a clear, practical, and hands-on approach to consulting with Simulation. Instead of focusing only on theory, the course guides you step by step through real applications, allowing you to confidently understand and use simulation to solve problems in logistics, operations, and supply chain design.

Throughout this tutorial, you will gain awareness and practical knowledge of several essential topics, including:

• How to plan, structure, and conduct a complete Supply Chain project with the support of a simulation software tool

• The general concepts and logic behind Discrete Event Simulation (DES) and why it is so widely used in operational decision-making

• The main use cases of simulation across transportation, warehousing, manufacturing, inventory management, and service operations

• A clear comparison between Python-based simulation frameworks and commercial DES software, helping you choose the right tool for different business needs

• How to apply these concepts through two hands-on examples directly related to common challenges in Supply Chain Management

By the end, you will be equipped to identify opportunities, design solutions, and bring successful, cost-effective simulation use cases into your company—improving performance, reducing uncertainty, and supporting smarter strategic decisions.