Multi-Criteria Decision Making: Practical Methods and Applications

In business, engineering, and daily life, we rarely make decisions based on a single factor. Balancing cost, quality, risk, and time requires a structured approach to avoid analysis paralysis and subjective bias. This text-based course introduces you to Multi-Criteria Decision Making (MCDM), equipping you with proven analytical frameworks to evaluate complex alternatives systematically. You will transition from relying on gut feelings to making robust, defensible, and data-driven choices. What you'll learn: 1. Understand foundational MCDM terminology, core decision matrices, and the nature of conflicting criteria. 2. Apply classical weighting methods like the Analytic Hierarchy Process (AHP) to structure complex decisions. 3. Practice ranking alternatives using established techniques such as TOPSIS and simple additive weighting. 4. Evaluate real-world scenarios across project management, supply chain selection, and resource allocation. 5. Integrate modern data tools and basic spreadsheet modeling to automate decision-making calculations. 6. Analyze sensitivity to understand how changes in criteria weights impact your final choice. You will start by mastering foundational decision theory and criteria weighting before moving step-by-step through practical ranking algorithms. Through clear written explanations and structured calculations, you will learn how to model, solve, and analyze multi-criteria problems. This course is designed for beginners, including aspiring project managers, business analysts, and engineers, with no prior advanced mathematical background required. Start reading today to master the analytical tools needed to solve complex decision problems with confidence.