Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/16677
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dc.contributor.authorAgra, Agostinhopt
dc.contributor.authorCerveira, Adelaidept
dc.contributor.authorRequejo, Cristinapt
dc.date.accessioned2017-01-20T12:40:20Z-
dc.date.available2017-01-20T12:40:20Z-
dc.date.issued2016-
dc.identifier.isbn978-3-319-51468-0pt
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10773/16677-
dc.description.abstractThis paper considers a multi-item inventory distribution problem motivated by a practical case occurring in the logistic operations of an hospital. There, a single warehouse supplies several nursing wards. The goal is to define a weekly distribution plan of medical products that minimizes the visits to wards, while respecting inventory capacities and safety stock levels. A mathematical formulation is introduced and several improvements such as tightening constraints, valid inequalities and an extended reformulation are discussed. In order to deal with real size instances, an hybrid heuristic based on mathematical models is introduced and the improvements are discussed. A branch-and-cut algorithm using all the discussed improvements is proposed. Finally, a computational experimentation is reported to show the relevance of the model improvements and the quality of the heuristic scheme.pt
dc.language.isoengpt
dc.publisherSpringer International Publishingpt
dc.relationPOCI-01-0145-FEDER-006961pt
dc.relationFCT - UID/EEA/50014/2013pt
dc.rightsopenAccesspor
dc.subjectMulti-item inventorypt
dc.subjectHospital logisticspt
dc.subjectBranch-and-cutpt
dc.subjectSupply chain managementpt
dc.titleA branch-and-cut algorithm for a multi-item inventory distribution problempt
dc.typebookPartpt
degois.publication.firstPage144pt
degois.publication.issueXIIpt
degois.publication.lastPage158pt
degois.publication.titleMachine learning, optimization, and big data: Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Paperspt
dc.identifier.doi10.1007/978-3-319-51469-7_12pt
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OGTCG - Capítulo de livro

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