Authors: Annastiina Kerkkanen, Janne Huiskonen
Addresses: Department of Industrial Engineering and Management, Lappeenranta University of Technology, P.O. Box 20, Lappeenranta 53851, Finland. ' Department of Industrial Engineering and Management, Lappeenranta University of Technology, P.O. Box 20, Lappeenranta 53851, Finland
Abstract: This paper deals with categorising errors that exist in qualitative sales forecasts, so that it can be defined what kind of development is needed to improve forecast accuracy. A framework for pointing out different types of sales forecast errors is presented. The framework includes analysing demand profiles of customers and the continuity of under-/over-forecast errors. The error types are named as random error, positive bidirectional error, negative bidirectional error, systematic under/over estimation error and unforecasted sales. The differences between the approaches for reducing each type of error are explained. The use of the framework is illustrated with sales and forecast data of a large process industry company. The analysis steps are illustrated and actions for reducing different types of sales forecast errors are suggested. [Received 15 November 2006; Accepted 11 May 2007]
Keywords: demand forecasting; supply chain management; SCM; decision making; forecast errors; judgemental forecasting; uncertainty; forecasting systems; biases; forecasting management; case study; inaccurate forecasts.
European Journal of Industrial Engineering, 2007 Vol.1 No.4, pp.355 - 369
Published online: 14 Oct 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article