Supply Chain Modeling and Analytics for Beginners

Modern supply chains generate vast amounts of data, but raw data is useless without the frameworks to interpret it. Understanding how to build mathematical models and apply analytics is the key to reducing costs, improving delivery times, and building resilient operations. This text-only course guides you from supply chain fundamentals to building practical analytical models. You will learn how to translate real-world logistics challenges into structured mathematical problems, enabling you to make optimal business decisions. What you will learn: Understand the foundational concepts of supply chain systems and network design; Model inventory levels to balance holding costs against customer demand variability; Apply forecasting techniques to predict future demand and plan resource allocation; Analyze logistics and transportation routes to minimize operational costs; Evaluate supply chain risk and model strategies for modern operational resilience. The course starts with essential terminology and structural definitions before moving into step-by-step written tutorials on optimization models, demand forecasting, and inventory analytics. You will practice these concepts through written exercises and scenario-based walkthroughs. Designed for beginners, this course requires no prior background in advanced mathematics or supply chain operations. Start building your analytical skills and transform how you view supply chain operations today.