Supply Chain Optimization with Operations Research

Modern supply chains require data-driven decisions to minimize costs and improve efficiency. Operations research provides the quantitative tools needed to model complex logistics networks, optimize inventory, and eliminate bottlenecks. This course introduces you to the key mathematical methods used to streamline operations. You will gain a strong foundation in problem formulation and decision analysis. What you'll learn: Learn the core concepts and terminology of operations research in supply chains; Apply mathematical optimization to resource allocation and routing; Analyze waiting times and system capacities with queueing theory; Understand discrete simulation techniques for operational scenarios; Explore digital twin technology for real-time supply chain monitoring. The material begins with essential definitions and theoretical foundations before guiding you through structured problem-solving examples. Designed for beginners and aspiring logistics analysts, this course requires no prior knowledge of mathematical programming. Start reading today to master the fundamentals of supply chain optimization.