Forecasts of demand are crucial to drive supply chains and enterprise resource planning systems. Usually, well-known univariate methods that work automatically such as exponential smoothing are employed to accomplish such forecasts. The traditional Supply Chain relies on a decentralized system...

Intermittent demand is characterized by occasional demand arrivals interspersed by time intervals during which no demand occurs. These demand patterns pose considerable difficulties in terms of forecasting and stock control due to their compound nature, which implies variability both in terms of...

How successful have economists and other business forecasters been in predicting recessions? This question is of considerable practical value since the level of economic activity greatly influences budgets and other plans of businesses. The purpose of this paper is to examine forecasts of...

Statistical forecasting is based on the assumption of constancy, or structural ability in the data. This paper argues that such an assumption might not always be realistic in real life forecasting situations. Unfortunately, however, statisticians and forecasters tend to forget, or at least not...

The paper reports a study of the impact on user satisfaction and forecast accuracy of user involvement in the design of a forecasting decision support system (FDSS). Two versions of an FDSS were tested via a laboratory study. Version 1, allowed the user control over all aspects of the system...

The major purpose of studies of forecasting accuracy is to help forecasters select the 'best' forecasting method. This paper examines accuracy studies in particular that of Makridakis et al. [20] with a view to establishing how they contribute to model choice. It is concluded that they affect...

Restrictiveness and guidance have been proposed as methods for improving the performance of users of support systems. In many companies computerized support systems are used in demand forecasting enabling interventions based on management judgment to be applied to statistical forecasts. However,...