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Enhancing inventory management decisions in a bakery: a case study

datacite.subject.fosEngenharia e Tecnologia
dc.contributor.authorCardoso, João
dc.contributor.authorLeitão, Paulo
dc.contributor.authorGeraldes, Carla A.S.
dc.contributor.editor.
dc.date.accessioned2026-04-10T16:03:10Z
dc.date.available2026-04-10T16:03:10Z
dc.date.issued2024
dc.description.abstractThis work aims to establish assertive inventory policies for the raw materials in a Portuguese bakery. The demand behaviour of some items was analysed, using the ABC classification, and 14 main items were prioritised. Using Holt-Winters’ additive method, the demand for these items was forecast until the end of 2023. With these forecast data, the paper presents a simulation and comparison between two different inventory policies, the continuous review model and the periodic review model, and also presents an estimate of current inventory costs. As expected, the periodic review model presented higher inventory costs than the continuous review model, due to the higher safety stocks needed. The results of this paper are a starting point for the company to decide what inventory management method fits better.eng
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).
dc.identifier.citationCardoso, João; Leitão, Paulo; Geraldes, Carla A.S. (2024). Enhancing inventory management decisions in a bakery: a case study. In 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023. p. 1049-1056. ISBN 978-3-031-38164-5. DOI: 10.1007/978-3-031-38165-2_16
dc.identifier.doi10.1007/978-3-031-38165-2_36
dc.identifier.isbn978-3-031-38164-5
dc.identifier.urihttp://hdl.handle.net/10198/36522
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer, Cham
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectInventory Management
dc.subjectDemand forecasting
dc.subjectBakery
dc.subjectCase Study
dc.titleEnhancing inventory management decisions in a bakery: a case studypor
dc.typeconference object
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIhttp://hdl.handle.net/10198/35997
oaire.citation.conferencePlacePorto
oaire.citation.endPage1056
oaire.citation.startPage1049
oaire.citation.title32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLeitão
person.familyNameGeraldes
person.givenNamePaulo
person.givenNameCarla A.S.
person.identifierA-8390-2011
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-2151-7944
person.identifier.orcid0000-0003-0187-1281
person.identifier.ridV-4290-2017
person.identifier.scopus-author-id35584388900
person.identifier.scopus-author-id25122283900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication7c251b32-de29-4ea1-8455-87a8aa49c8ef
relation.isAuthorOfPublication.latestForDiscovery68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
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