Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/70503
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Silva, Juliana C. | por |
dc.contributor.author | Figueiredo, Manuel | por |
dc.contributor.author | Braga, A. C. | por |
dc.date.accessioned | 2021-03-01T16:03:14Z | - |
dc.date.available | 2021-03-01T16:03:14Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | 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 | - |
dc.identifier.isbn | 9783030243012 | por |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://hdl.handle.net/1822/70503 | - |
dc.description.abstract | 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. | por |
dc.description.sponsorship | This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019 | por |
dc.language.iso | eng | por |
dc.publisher | Springer Verlag | por |
dc.relation | UID/CEC/00319/2019 | por |
dc.rights | openAccess | por |
dc.subject | ARIMA | por |
dc.subject | Combining forecasts | por |
dc.subject | Exponential smoothing | por |
dc.subject | Forecasting demand | por |
dc.title | Demand forecasting: a case study in the food industry | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007%2F978-3-030-24302-9_5 | por |
oaire.citationStartPage | 50 | por |
oaire.citationEndPage | 63 | por |
oaire.citationVolume | 11621 LNCS | por |
dc.date.updated | 2021-03-01T15:47:56Z | - |
dc.identifier.doi | 10.1007/978-3-030-24302-9_5 | por |
dc.subject.wos | Science & Technology | por |
sdum.export.identifier | 8981 | - |
sdum.journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | por |
sdum.conferencePublication | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2019, PT III | por |
oaire.version | AM | por |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
ICCSA2019_forecast_paper_draft.pdf | 1,13 MB | Adobe PDF | Ver/Abrir |