Forecast accuracy in demand planning: A fast-moving consumer goods case study
Background: An established South African fast-moving consumer goods (FMCG) manufacturer, Company A, sought to address an underperforming supply chain through an attempt to improve demand planning accuracy. A need arose within the organisation for an assessment of the impact of this intervention. A l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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AOSIS
2019-06-01
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| Series: | Journal of Transport and Supply Chain Management |
| Subjects: | |
| Online Access: | https://jtscm.co.za/index.php/jtscm/article/view/427 |
| _version_ | 1818601994871373824 |
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| author | Lisa M. Basson Peter J. Kilbourn Jackie Walters |
| author_facet | Lisa M. Basson Peter J. Kilbourn Jackie Walters |
| author_sort | Lisa M. Basson |
| collection | DOAJ |
| description | Background: An established South African fast-moving consumer goods (FMCG) manufacturer, Company A, sought to address an underperforming supply chain through an attempt to improve demand planning accuracy. A need arose within the organisation for an assessment of the impact of this intervention. A literature gap was also identified, taking into account the limited number of relevant case studies that exist in academic literature.
Objectives: The primary objective of this study was to establish whether or not the demand planning interventions of Company A had a positive impact on the performance of the supply chain under investigation. In support of this primary objective, the secondary objectives were to determine and compare the pre- and post-intervention demand planning activities and performance of Company A.
Method: A case study research design was used focusing on Company A. The researcher sourced evidence through a secondary quantitative data analysis and primary data collection through interviews with personnel directly involved in the demand planning process at Company A.
Results: From mean absolute percentage error calculations, it was found that the focal company’s demand planning process intervention had reduced the errors in demand forecasting for all classifications of stock keeping units analysed.
Conclusion: The demand planning interventions applied by Company A had a positive impact on the overall supply chain performance. A positive relationship was found between a well-informed, team-based and technology-assisted approach to demand planning and improved forecasting accuracy within an FMCG company. |
| first_indexed | 2024-12-16T13:00:14Z |
| format | Article |
| id | doaj.art-480c992143dd4121baa694616b35c680 |
| institution | Directory Open Access Journal |
| issn | 2310-8789 1995-5235 |
| language | English |
| last_indexed | 2024-12-16T13:00:14Z |
| publishDate | 2019-06-01 |
| publisher | AOSIS |
| record_format | Article |
| series | Journal of Transport and Supply Chain Management |
| spelling | doaj.art-480c992143dd4121baa694616b35c6802022-12-21T22:30:52ZengAOSISJournal of Transport and Supply Chain Management2310-87891995-52352019-06-01130e1e910.4102/jtscm.v13i0.427215Forecast accuracy in demand planning: A fast-moving consumer goods case studyLisa M. Basson0Peter J. Kilbourn1Jackie Walters2Department of Transport and Supply Chain Management, University of Johannesburg, JohannesburgDepartment of Transport and Supply Chain Management, University of Johannesburg, JohannesburgDepartment of Transport and Supply Chain Management, University of Johannesburg, JohannesburgBackground: An established South African fast-moving consumer goods (FMCG) manufacturer, Company A, sought to address an underperforming supply chain through an attempt to improve demand planning accuracy. A need arose within the organisation for an assessment of the impact of this intervention. A literature gap was also identified, taking into account the limited number of relevant case studies that exist in academic literature. Objectives: The primary objective of this study was to establish whether or not the demand planning interventions of Company A had a positive impact on the performance of the supply chain under investigation. In support of this primary objective, the secondary objectives were to determine and compare the pre- and post-intervention demand planning activities and performance of Company A. Method: A case study research design was used focusing on Company A. The researcher sourced evidence through a secondary quantitative data analysis and primary data collection through interviews with personnel directly involved in the demand planning process at Company A. Results: From mean absolute percentage error calculations, it was found that the focal company’s demand planning process intervention had reduced the errors in demand forecasting for all classifications of stock keeping units analysed. Conclusion: The demand planning interventions applied by Company A had a positive impact on the overall supply chain performance. A positive relationship was found between a well-informed, team-based and technology-assisted approach to demand planning and improved forecasting accuracy within an FMCG company.https://jtscm.co.za/index.php/jtscm/article/view/427demand planningforecastingfast-moving consumer goodsforecast accuracymean absolute percentage error |
| spellingShingle | Lisa M. Basson Peter J. Kilbourn Jackie Walters Forecast accuracy in demand planning: A fast-moving consumer goods case study Journal of Transport and Supply Chain Management demand planning forecasting fast-moving consumer goods forecast accuracy mean absolute percentage error |
| title | Forecast accuracy in demand planning: A fast-moving consumer goods case study |
| title_full | Forecast accuracy in demand planning: A fast-moving consumer goods case study |
| title_fullStr | Forecast accuracy in demand planning: A fast-moving consumer goods case study |
| title_full_unstemmed | Forecast accuracy in demand planning: A fast-moving consumer goods case study |
| title_short | Forecast accuracy in demand planning: A fast-moving consumer goods case study |
| title_sort | forecast accuracy in demand planning a fast moving consumer goods case study |
| topic | demand planning forecasting fast-moving consumer goods forecast accuracy mean absolute percentage error |
| url | https://jtscm.co.za/index.php/jtscm/article/view/427 |
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