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https://hdl.handle.net/1822/70503
Título: | Demand forecasting: a case study in the food industry |
Autor(es): | Silva, Juliana C. Figueiredo, Manuel Braga, A. C. |
Palavras-chave: | ARIMA Combining forecasts Exponential smoothing Forecasting demand |
Data: | 2019 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Citação: | Silva J.C., Figueiredo M.C., Braga A.C. (2019) Demand Forecasting: A Case Study in the Food Industry. In: Misra S. et al. (eds) Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science, vol 11621. Springer, Cham. https://doi.org/10.1007/978-3-030-24302-9_5 |
Resumo(s): | The use of forecasting methods is nowadays regarded as a business ally since it supports both the operational and the strategic decision-making processes. This paper is based on a research project aiming the development of demand forecasting models for a company (designated here by PR) that operates in the food business, more specifically in the delicatessen segment. In particular, we focused on demand forecasting models that can serve as a tool to support production planning and inventory management at the company. The analysis of the company’s operations led to the development of a new demand forecasting tool based on a combination of forecasts, which is now being used and tested by the company. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/70503 |
ISBN: | 9783030243012 |
DOI: | 10.1007/978-3-030-24302-9_5 |
ISSN: | 0302-9743 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-030-24302-9_5 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ICCSA2019_forecast_paper_draft.pdf | 1,13 MB | Adobe PDF | Ver/Abrir |