Prediction of demand is a key component within supply chain management. Improved accuracy in forecasts directly affects all levels of the supply chain, reducing stock costs and increasing customer satisfaction. In many application areas, demand prediction relies on statistical software which...

Forecast adjustment commonly occurs when organizational forecasters adjust a statistical forecast of demand to take into account factors which are excluded from the statistical calculation. This paper addresses the question of how to measure the accuracy of such adjustments. We show that many...

This paper argues that if OR is to prosper it needs to more closely reflect the needs of organisations and its practitioners. Past research has highlighted a gap between theoretical research developments, applications and the methods most frequently used in organisations. The scope of OR...

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...

Sales forecasting is becoming increasingly complex, due to a range of factors, such as the shortening of product life cycles, increasingly competitive markets, and aggressive marketing. Often, forecasts are produced using a Forecasting Support System that integrates univariate statistical...

This article studies how adoption and usage behaviour of the Internet and online shopping, respectively influence the preference to use electronic commerce to purchase different types of products. We empirically model the preference for electronic commerce when consumers have to buy different...

In their ongoing investigation into corporate forecasting practices, Robert Fildes and Paul Goodwin have uncovered evidence of excessive use of judgmental adjustment to statistical forecasts. In this report, they document the extent of the problem within four large companies, explore the...

Selection protocols such as Box-Jenkins, variance analysis, method switching and rules-based forecasting measure data characteristics and incorporate them in models to generate best forecasts. These protocol selection methods are judgemental in application and often select a single (aggregate)...