About this document
Understanding Forecasting Errors in Operations by shubham is a document available to read on EtoBox.
This document discusses key metrics for evaluating forecast errors: - Forecast error is the difference between actual and forecasted demand. Average error and mean absolute deviation measure the average forecast error. - Mean squared error measures the average of the squares of errors. Mean absolute percentage error scales errors as a percentage of actual demand. - Tracking signal indicates whether the forecast is keeping up with changes in demand, measured as ratio of recent sales to forecast errors.
- Author
- shubham
- Language
- EN