University of Twente Student Theses
Improving forecast accuracy : improving the baseline forecast for cheese products by use of statistical forecasting
Sommeren, F.A.H. van (2011) Improving forecast accuracy : improving the baseline forecast for cheese products by use of statistical forecasting.
![[img]](http://essay.utwente.nl/style/images/fileicons/application_pdf.png) |
PDF
1MB |
| Abstract: | This master thesis project was carried out at the supply chain department of FrieslandCampina Cheese. This research project, analyzes the applicability of statistical forecasting for cheese products. The project focuses on forecasts for baseline sales. Baseline sales are the sales that are left when promotion sales have been excluded. FrieslandCampina wants to use APO (a forecast module in SAP) to create statistical forecasts. In this research project, we explore the statistical models that are available in APO. Because APO cannot optimize the parameters for every statistical model, we create an advanced forecasting tool in Microsoft Excel to optimize the parameters per model. Our analysis indicates that implementation of statistical forecasting would benefit FrieslandCampina. Because of the great variety and amounts of products at FrieslandCampina, we select 80 products to analyze in our research. 72,5% of these products show an improvement in forecast performance. |
| Item Type: | Essay (Master) |
| Clients: | FrieslandCampina, Amersfoort, the Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Industrial Engineering and Management MSc (60029) |
| Link to this item: | https://purl.utwente.nl/essays/62384 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page