Supply Chain Optimization with Excel: Resource Planning and Risk Analysis

Modern supply chains must be both efficient and resilient to handle constant disruptions and changing demands. Understanding how to model resources and simulate risks mathematically is the key to making profitable, low-risk operational decisions. This written course guides you through the foundational concepts of supply chain optimization. You will learn how to translate complex logistics challenges into clear mathematical models, allocate scarce resources efficiently, and analyze risks using practical spreadsheet techniques. What you'll learn: - Understand the core terminology of supply chain optimization, constraints, and decision variables. - Configure linear programming models in Excel to optimize production capacity and resource allocation. - Apply modern Excel formulas and dynamic array patterns to structure clean, scalable optimization models. - Simulate supply chain uncertainty and risk using Monte Carlo techniques to evaluate different scenarios. - Analyze trade-offs between logistics costs, capacity constraints, and customer service levels. The course begins with essential concepts of supply chain planning before moving into practical optimization setups. You will progress from simple resource allocation problems to risk simulations, learning through detailed written explanations and step-by-step spreadsheet modeling walkthroughs. This course is designed for beginners in supply chain management, logistics, operations, or data analysis who want to build practical modeling skills. No prior experience with optimization or advanced statistics is required. Start building smarter, more resilient supply chain models today.