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hal.structure.identifierTechnische Universiteit Eindhoven
dc.contributor.authorDellaert, Nico*
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorJeunet, Jully*
dc.date.accessioned2017-02-15T16:33:44Z
dc.date.available2017-02-15T16:33:44Z
dc.date.issued2017
dc.identifier.issn0305-0548
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16254
dc.language.isoenen
dc.subjectHospital capacity planning
dc.subjectMaster Surgery Schedule problem
dc.subjectMultiple resources
dc.subjectVariable Neighborhood Search
dc.subject.ddc003en
dc.titleA variable neighborhood search algorithm for the surgery tactical planning problem
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherEindhoven University of Technology
dc.description.abstractenWe address the tactical planning problem of surgeries that consists in building an admission plan of patients over a medium-term horizon planning so as to minimize over and under utilization of several resources such as operating theaters, beds and nursing care, compared with their target level of utilization. The problem is formulated as a mixed integer linear program for which exact solution methods fail to find an optimal solution in a reasonable execution time. We develop a Variable Neighborhood Search algorithm and show its ability to provide high quality solutions in short computational running times compared with CPLEX for numerous real-sized instances based on the surgery planning problem in a Dutch cardiothoracic center. Furthermore, with few parameters' settings and low computational memory requirements, this approach may easily be implemented in a decision support system for hospitals.
dc.relation.isversionofjnlnameComputers and Operations Research
dc.relation.isversionofjnlvol84
dc.relation.isversionofjnldate2017
dc.relation.isversionofjnlpages216–225
dc.relation.isversionofdoi10.1016/j.cor.2016.05.013
dc.contributor.countryeditoruniversityotherNETHERLANDS
dc.relation.isversionofjnlpublisherElsevier
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.relation.Isversionofjnlpeerreviewedoui
dc.date.updated2019-03-28T15:38:18Z
hal.identifierhal-01523932*
hal.version1*
hal.update.actionupdateMetadata*
hal.update.actionupdateFiles*
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