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Improving the production process of a bakery: a simulation approach

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datacite.subject.fosEngenharia e Tecnologia
dc.contributor.authorGeraldes, Carla A.S.
dc.contributor.authorSetti, Fabiana
dc.contributor.authorAlmeida, João P.
dc.date.accessioned2026-04-10T15:49:55Z
dc.date.available2026-04-10T15:49:55Z
dc.date.issued2024
dc.description.abstractThe present study brings forward a simulation-based study of the production process of a Portuguese bakery. The main goal is to analyse different production processes and propose improvements, through the use of discrete event simulation. A relevant set of data was collected, and four productive processes were selected to be modelled using Simio software (Simulation Modelling based on Intelligent Objects). The analysis of the developed models highlighted the need for improvements and different scenarios were created to this purpose. Among the obtained results, it was found that the adoption of mixed production scenarios allowed the increase of the production level while maintaining the current existing resources. In conclusion, this study high-lighted the ability of the simulation technique to analyse manufacturing processes, throughout the creation of different scenarios, providing insights on the production process optimising the companies’ productive performance.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.citationGeraldes, Carla A.S.; Setti, Fabiana; Almeida, João P. (2024). Improving the production process of a bakery: a simulation approach. In 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023. p. 128-135. ISBN 978-3-031-38164-5. DOI: 10.1007/978-3-031-38165-2_16
dc.identifier.doi10.1007/978-3-031-38165-2_16
dc.identifier.isbn978-3-031-38164-5
dc.identifier.urihttp://hdl.handle.net/10198/36521
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.subjectManufacturing
dc.subjectSimulation
dc.subjectBakery
dc.subjectCase Study
dc.titleImproving the production process of a bakery: a simulation approacheng
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.endPage135
oaire.citation.startPage128
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.familyNameGeraldes
person.familyNameAlmeida
person.givenNameCarla A.S.
person.givenNameJoão P.
person.identifierR-000-K6T
person.identifier.ciencia-id1C14-D6B1-6A78
person.identifier.orcid0000-0003-0187-1281
person.identifier.orcid0000-0002-1286-2527
person.identifier.ridV-4290-2017
person.identifier.ridN-8243-2013
person.identifier.scopus-author-id25122283900
person.identifier.scopus-author-id54956738400
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.isAuthorOfPublication7c251b32-de29-4ea1-8455-87a8aa49c8ef
relation.isAuthorOfPublicationd51506e1-376c-4c70-b68b-f527b54440d2
relation.isAuthorOfPublication.latestForDiscovery7c251b32-de29-4ea1-8455-87a8aa49c8ef
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
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