This document discusses different methods for measuring forecast accuracy. It covers quantity accuracy, time accuracy, and a combined measure of total forecast accuracy. For quantity accuracy, common metrics include mean error, mean square error, mean absolute deviation, and mean absolute percentage error. Time accuracy considers how accurate the forecast is in predicting the actual time period and can involve preponing or postponing. The document provides formulas for calculating accuracy while accounting for under-forecasting, over-forecasting, and differences in forecast versus actual time periods.