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Complexity Constraint in the Distributor's Pallet Loading Problem

dc.contributor.authorBarros, Hugo
dc.contributor.authorPereira, Maria Teresa
dc.contributor.authorRamos, António G.
dc.contributor.authorFerreira, Fernanda A.
dc.date.accessioned2022-02-02T12:08:53Z
dc.date.available2022-02-02T12:08:53Z
dc.date.issued2021-07-23
dc.date.updated2022-02-01T16:04:21Z
dc.description.abstractThis paper presents a study on the complexity of cargo arrangements in the pallet loading problem. Due to the diversity of perspectives that have been presented in the literature, complexity is one of the least studied practical constraints. In this work, we aim to refine and propose a new set of metrics to measure the complexity of an arrangement of cargo in a pallet. The parameters are validated using statistical methods, such as principal component analysis and multiple linear regression, using data retrieved from the company logistics. Our tests show that the number of boxes was the main variable responsible for explaining complexity in the pallet loading problem.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/math9151742pt_PT
dc.identifier.issn2227-7390
dc.identifier.slugcv-prod-2692637
dc.identifier.urihttp://hdl.handle.net/10400.22/19738
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2227-7390/9/15/1742pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectPallet loading problempt_PT
dc.subjectComplexitypt_PT
dc.subjectPrincipal components analysispt_PT
dc.subjectMultiple linear regressionpt_PT
dc.titleComplexity Constraint in the Distributor's Pallet Loading Problempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue15pt_PT
oaire.citation.startPage1742pt_PT
oaire.citation.titleMathematicspt_PT
oaire.citation.volume9pt_PT
person.familyNameRibeiro Pereira
person.familyNameRamos
person.givenNameMaria Teresa
person.givenNameAntónio
person.identifierU-2265-2018
person.identifier.ciencia-id7A16-77DE-410A
person.identifier.ciencia-id2018-2DA6-26D5
person.identifier.orcid0000-0003-4556-9578
person.identifier.orcid0000-0002-0885-7792
person.identifier.ridC-4936-2016
person.identifier.scopus-author-id56624034400
person.identifier.scopus-author-id56027314200
rcaap.cv.cienciaid7A16-77DE-410A | Maria Teresa Ribeiro Pereira
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3f7f1146-378f-4f1d-80ba-d499f3bd114b
relation.isAuthorOfPublication2e66f3bf-64ce-4657-ac24-b7eae74d5672
relation.isAuthorOfPublication.latestForDiscovery3f7f1146-378f-4f1d-80ba-d499f3bd114b

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