In this article Jim discusses 1) forecast error calculations for intermittent (sporadic) demand
items, 2) issues with measuring forecast error aggregated across items, and 3) metrics for …

In this eye-opening article, Steve Morlidge shows that when our demand histories are
intermittent, we should rethink the use of our most common accuracy metrics for selecting a …

Preview: Some traditional measurements of forecast accuracy are unsuitable for intermittent-
demand data because they can give infinite or undefined values. Rob Hyndman …

To compare different forecasting methods on demand series, we require an error measure.
Many error measures have been proposed, but when demand is intermittent some become …

As Jim Hoover points out in the preceding article, intermittent demand, with its frequent zero
values, forces us to consider new ways of assessing forecast accuracy. The most obvious …

It has long been recognized that there is a need in urban transportation planning for the
development of a" fast response" procedure which would allow the determination of …

To decide in advance the amount of resources that is required next week or next month can
be both a complicated and hazardous task depending on the situation, despite the known …

Forecasting as a scientific discipline has progressed a lot in the last 40 years, with Nobel
prizes being awarded for seminal work in the field, most notably to Engle, Granger and …

Problem: Decision makers in the public and private sectors would benefit from more
accurate forecasts of demand for goods and services. Most forecasting practitioners are …

An updated new edition of the comprehensive guide to better business forecasting Many
companies still look at quantitative forecasting methods with suspicion, but a new …