Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/70503

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dc.contributor.authorSilva, Juliana C.por
dc.contributor.authorFigueiredo, Manuelpor
dc.contributor.authorBraga, A. C.por
dc.date.accessioned2021-03-01T16:03:14Z-
dc.date.available2021-03-01T16:03:14Z-
dc.date.issued2019-
dc.identifier.citationSilva 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.isbn9783030243012por
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/70503-
dc.description.abstractThe 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.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationUID/CEC/00319/2019por
dc.rightsopenAccesspor
dc.subjectARIMApor
dc.subjectCombining forecastspor
dc.subjectExponential smoothingpor
dc.subjectForecasting demandpor
dc.titleDemand forecasting: a case study in the food industrypor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-24302-9_5por
oaire.citationStartPage50por
oaire.citationEndPage63por
oaire.citationVolume11621 LNCSpor
dc.date.updated2021-03-01T15:47:56Z-
dc.identifier.doi10.1007/978-3-030-24302-9_5por
dc.subject.wosScience & Technologypor
sdum.export.identifier8981-
sdum.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
sdum.conferencePublicationCOMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2019, PT IIIpor
oaire.versionAMpor
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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