INT J FORECASTING, Volume 32, Issue 3, JUL-SEP 2016, Pages 669-679 The mean absolute percentage error (MAPE) is one of the most widely used measures of forecast accuracy, due to its advantages of [...]
INT J FORECASTING, Volume 32, Issue 3, JUL-SEP 2016, Pages 788-803 Massive increases in computing power and new database architectures allow data to be stored and processed at finer and finer [...]
Foresight: The International Journal of Applied Forecasting, Issue 38, Summer 2015, Pages 5 – 8 Some forecasters might envy those who make demand forecasts for products that have been [...]
Foresight: The International Journal of Applied Forecasting, Issue 37, Spring 2015, Pages 37 – 42 In this eye-opening article, Steve Morlidge shows that when our demand histories are [...]
INT J FORECASTING, Volume 30, Issue 4, OCT-DEC 2014, Pages 928-933 Croston’s method is generally viewed as being superior to exponential smoothing when the demand is intermittent, but it [...]
INT J FORECASTING, Volume 28, Issue 2, APR-JUN 2012, Pages 485-496 Organizations with large-scale inventory systems typically have a large proportion of items for which demand is intermittent and [...]
Foresight: The International Journal of Applied Forecasting, Issue 20, Winter 2011, Pages 12 – 17 ABC classifications are commonly used to streamline a large number of SKUs into fewer, more [...]
Foresight: The International Journal of Applied Forecasting, Issue 4, Jun-06, Pages 31 – 31 This special feature of Foresight examines the challenges in measuring forecast accuracy within [...]
Foresight: The International Journal of Applied Forecasting, Issue 4, Jun-06, Pages 32 – 35 In this article, Jim Hoover discusses: (i) Forecast error calculations for intermittent [...]
Foresight: The International Journal of Applied Forecasting, Issue 4, Jun-06, Pages 36 – 38 While most forecast-error metrics are averages of forecast errors, Tom argues that, for [...]