Abstract:
John and Aris distinguish between forecase-accuracy metrics, which measure the errors resulting from a forecast method, and accuracy-implication metrics, which measure the achievement of the organization's stockholding and service-level goals. Both measurements are important. The correct choice of a forecast-accuracy metric depends on the organization's inventory rules, and on whether accuracy is to be gauged for a single item or across a range of items, The authors recommend specific accuracy and accuracy-implication metrics for each context. Copyright International Institute of Forecasters, 2006