Decision Support Systems for Operations Management

Every operational decision, from inventory levels to resource scheduling, directly impacts a company's performance and bottom line. Understanding how to structure these decisions using data-driven frameworks is a critical skill for modern managers. This text-based course guides you from foundational decision theory to applying structured Decision Support Systems (DSS) to real-world business challenges. You will learn how to translate complex operational problems into clear, actionable models that improve efficiency and output. What you'll learn: - Understand the core concepts, terminology, and architecture of Decision Support Systems. - Analyze operational workflows to identify key decision points and data requirements. - Build quantitative models for inventory control, resource scheduling, and capacity planning. - Apply modern data-driven approaches and basic predictive concepts to forecast operational needs. - Evaluate decision risks and perform sensitivity analyses to test different business scenarios. - Implement structured frameworks to improve daily trading, logistics, and supply chain outcomes. You will start by mastering foundational terminology and decision-making concepts before progressing to practical, step-by-step modeling scenarios. Through clear written explanations and structured analytical exercises, you will develop the skills needed to support real-world business operations. This course is designed for aspiring operations managers, business analysts, and beginners seeking a structured introduction to data-backed decision-making, with no prior technical experience required. Start building the analytical skills to drive smarter operational decisions today.