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Dealing with the storage location assignment problem with precedence constraints

dc.contributor.authorTrindade, Maria A. M.
dc.contributor.authorMoreira, Maria R. A.
dc.contributor.authorSousa, Paulo S. A.
dc.date.accessioned2024-12-11T11:18:48Z
dc.date.available2024-12-11T11:18:48Z
dc.date.issued2020-06-28
dc.description.abstractThis paper proposes a zero-one quadratic assignment model for dealing with the storage location assignment problem when there are weight constraints. Our analysis shows that operations can be improved using our model. When comparing the strategy currently used in a real-life company with the designed model, we found that the new placement of products allowed a reduction of up to 22% on the picking distance. This saving is higher than that achieved with the creation of density zones, a procedure commonly used to deal with weight constraints, according to the literature.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.14/47496
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectStorage location assignment problem (SLAP)pt_PT
dc.subjectCorrelated policypt_PT
dc.subjectPrecedence constraintspt_PT
dc.titleDealing with the storage location assignment problem with precedence constraintspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceUnited Kingdompt_PT
oaire.citation.endPage446pt_PT
oaire.citation.startPage437pt_PT
oaire.citation.titleEurOMA Conference 2020: Managing Operations for Impactpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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