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, 200
Forecasts of product demand are essential for short- and long-term optimization of logistics and pro...
Forecasting demand for spare parts is challenging due to large number of individual spare parts and ...
Successful demand planning relies on accurate demand forecasts. Existing demand planning software ty...
Forecast adjustment commonly occurs when organizational forecasters adjust a statistical forecast of...
A number of research projects have demonstrated that the efficiency of inventory systems does not re...
A number of research projects have demonstrated that the efficiency of inventory systems does not re...
A number of research projects have demonstrated that the efficiency of inventory systems does not re...
A number of research projects have demonstrated that the efficiency of inventory systems does not re...
Successful demand planning relies on accurate demand forecasts. Existing demand planning software ty...
Empirical research suggests that quantitatively derived forecasts are very frequently judgementally ...
Accuracy measurement in forecasting is always a subject of debate because of its importance. An adeq...
Inventory management is an important part of a good functioning logistic. Nearly all the literature ...
The paper shows that due to the features of SKU (stock-keeping unit) demand data wellknown error mea...
Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineeri...
Forecasts of product demand are essential for short- and long-term optimization of logistics and pro...
Forecasting demand for spare parts is challenging due to large number of individual spare parts and ...
Successful demand planning relies on accurate demand forecasts. Existing demand planning software ty...
Forecast adjustment commonly occurs when organizational forecasters adjust a statistical forecast of...
A number of research projects have demonstrated that the efficiency of inventory systems does not re...
A number of research projects have demonstrated that the efficiency of inventory systems does not re...
A number of research projects have demonstrated that the efficiency of inventory systems does not re...
A number of research projects have demonstrated that the efficiency of inventory systems does not re...
Successful demand planning relies on accurate demand forecasts. Existing demand planning software ty...
Empirical research suggests that quantitatively derived forecasts are very frequently judgementally ...
Accuracy measurement in forecasting is always a subject of debate because of its importance. An adeq...
Inventory management is an important part of a good functioning logistic. Nearly all the literature ...
The paper shows that due to the features of SKU (stock-keeping unit) demand data wellknown error mea...
Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineeri...
Forecasts of product demand are essential for short- and long-term optimization of logistics and pro...
Forecasting demand for spare parts is challenging due to large number of individual spare parts and ...
Successful demand planning relies on accurate demand forecasts. Existing demand planning software ty...