This Forecasting in Operations Management Course is designed to help learners understand how businesses predict future demand and make better planning decisions. Forecasting is a key part of operations management because it helps organizations manage inventory, production, staffing, and overall business strategy.

The course begins with an introduction to forecasting and explains its importance in operations management. You will learn how businesses use historical data to estimate future trends and improve decision-making.

A major focus is time series forecasting, where data is analyzed over time to identify patterns and predict future outcomes. You will also study essential forecasting techniques such as moving averages, MAD (Mean Absolute Deviation), MSE (Mean Squared Error), and MAPE (Mean Absolute Percentage Error), which are used to measure forecast accuracy.

The course also covers seasonality and trend analysis using Excel-based forecasting methods. These tools help businesses understand seasonal demand changes and long-term trends in sales and operations.

In addition, you will explore demand forecasting concepts, which are essential for supply chain planning and inventory control. By understanding demand patterns, companies can reduce costs and improve efficiency.

By the end of this course, you will be able to apply forecasting techniques in real business scenarios and support better operational and strategic decisions.