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Modeling an aggregate production planning

dc.contributor.authorZanella, Fernando
dc.contributor.authorVaz, Clara B.
dc.date.accessioned2023-03-01T14:45:51Z
dc.date.available2023-03-01T14:45:51Z
dc.date.issued2022
dc.description.abstractThis paper aims to present and discuss the benefits that small- and medium-sized companies can get when using mathematical programming to help in the decision-making process regarding aggregate production planning. The aggregate plan is concerned with determining the quantity of a good or a family of goods to be produced and also scheduling its production for the medium-range period, in which the main objective is to meet forecast demand while minimizing costs. To exemplify an aggregate production planning problem, a simplified model of a real company, considering four months, was proposed. Future developments should improve the model to consider other data such as inventory management and costs; raw material storage and logistics; employee costs, contracting and subcontracting and overtime.pt_PT
dc.description.sponsorshipThis work has been supported by FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationZanella, Fernando; Vaz, Clara B. (2022). Modeling an aggregate production planning. In 2nd Symposium of Applied Science for Young Researchers. Viana do Castelopt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27376
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAggregate production planningpt_PT
dc.subjectInteger programmingpt_PT
dc.subjectMathematical modelpt_PT
dc.titleModeling an aggregate production planningpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceViana do Castelopt_PT
oaire.citation.title2nd Symposium of Applied Science for Young Researcherspt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVaz
person.givenNameClara B.
person.identifierR-001-FQC
person.identifier.ciencia-id9611-3386-E516
person.identifier.orcid0000-0001-9862-6068
person.identifier.ridF-1519-2016
person.identifier.scopus-author-id56352045500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isAuthorOfPublication.latestForDiscovery34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

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