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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:vxu-2127 |
| Date | January 2008 |
| Creators | Lobban, Stacey, Klimsova, Hana |
| Publisher | Växjö universitet, Ekonomihögskolan, EHV, Växjö universitet, Ekonomihögskolan, EHV |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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