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This lecture recording provides an overview of Measuring Forecasting Error. The Forecast Error is the difference between the observed value of the times series and the forecast. We will review three types of Forecast Errors, including Mean Absolute Deviation Error (MAD), Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE). Content derived from from the Textbook "Operations Management, Sustainability and Supply Chain" 13th edition by Jay Heizer, Barry Render and Chuck Munson. Chapter 4 on Forecasting.