Chapter 8 Exponential Smoothing

This chapter introduces students to Exponential Smoothing, one of the most widely used forecasting techniques for analyzing and predicting time series data. Students will learn how exponential smoothing assigns greater weight to recent observations while still incorporating past data, allowing forecasts to adapt efficiently to changing conditions. The chapter explores simple exponential smoothing, trend-adjusted methods, and seasonal smoothing models, highlighting their applications in business forecasting, inventory management, sales projections, financial planning, and operations management. Through practical examples and real-world scenarios, students will develop the ability to select appropriate smoothing models, determine smoothing parameters, evaluate forecast accuracy, and generate reliable forecasts that support strategic and operational decision-making in dynamic business environments.