Supply Chain Modeling and Analytics for Logistics Optimization

Modern supply chains rely on data to keep goods moving efficiently across the globe. Understanding how to model logistics networks and analyze warehouse operations is essential for making smart, cost-effective decisions. This text-based course guides you through the foundational concepts of supply chain modeling and analytics. You will learn how to systematically analyze transportation routes, optimize warehouse storage, and apply modern analytical frameworks to solve real-world logistical challenges. What you'll learn: - Understand foundational supply chain terminology, network design, and analytical concepts. - Model transportation networks to minimize costs and improve delivery efficiency. - Analyze warehousing operations, inventory levels, and storage layouts using data-driven methods. - Apply modern predictive analytics and optimization techniques to forecast demand and manage risk. - Evaluate sustainability metrics and green logistics practices within your supply chain models. The course begins with core definitions and basic logistics frameworks before moving into practical modeling scenarios for transportation and warehousing. You will progress through written case studies and scenarios designed to build your analytical confidence step-by-step. This course is designed for beginners, aspiring logistics analysts, and supply chain professionals looking to build their analytical skills, with no prior experience in advanced mathematics required. Start reading today to build the analytical skills needed to optimize modern supply chain networks.