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Demand Forecasting : A study at Alfa Laval in Lund

By Stacey Lobban and Hana Klimsova

Abstract

Accurate forecasting is a real problem at many companies and that includes Alfa Laval in Lund. Alfa Laval experiences problems forecasting for future raw material demand. Management is aware that the forecasting methods used today can be improved or replaced by others. A change could lead to better forecasting accuracy and lower errors which means less inventory, shorter cycle times and better customer service at lower costs. The purpose of this study is to analyze Alfa Laval’s current forecasting models for demand of raw material used for pressed plates, and then determine if other models are better suited for taking into consideration trends and seasonal variation

Topics: Alfa Laval, demand forecasting, time series analysis, moving average, exponential smoothing, autocorrelation, forecasting accuracy, plate heat exchangers, Business and economics, Ekonomi
Publisher: Växjö universitet, Ekonomihögskolan, EHV
Year: 2008
OAI identifier: oai:DiVA.org:vxu-2127
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