Solving a big-scaled hospital facility layout problem with meta-heuristics algorithms

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dc.contributor.authorTongur, Vahit
dc.contributor.authorHacibeyoglu, Mehmet
dc.contributor.authorUlker, Erkan
dc.date.accessioned2024-02-23T14:12:48Z
dc.date.available2024-02-23T14:12:48Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractThe main objective of the hospital facility layout problem is to place the polyclinics, laboratories and radiology units within the predefined boundaries in such way that minimize the movement cost of patients and healthcare staff. Especially in big-scaled hospitals including several different specialized departments, it is important in terms of hospital efficiency that interacting units are placed closely. Nowadays meta-heuristic algorithms are often used to solve optimization problems such as facility layout. In this study; polyclinic, laboratory and radiology units' layout of a big-scaled university hospital was organized using three meta-heuristic algorithms which are migrating bird optimization (MBO), tabu search (TS) and simulated annealing (SA). The results were compared with the existing clinic layout. Consequently MBO and SA meta-heuristic algorithms have given the same best results improving the existing clinic layout efficiency approximately by 58%. (C) 2019 Karabuk University. Publishing services by Elsevier B.V.en_US
dc.identifier.doi10.1016/j.jestch.2019.10.006
dc.identifier.endpage959en_US
dc.identifier.issn2215-0986
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85075517472en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage951en_US
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2019.10.006
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12188
dc.identifier.volume23en_US
dc.identifier.wosWOS:000558754000010en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier - Division Reed Elsevier India Pvt Ltden_US
dc.relation.ispartofEngineering Science And Technology-An International Journal-Jestechen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHospital Facility Layout Problemen_US
dc.subjectMigrating Birds Optimizationen_US
dc.subjectOptimization Problemen_US
dc.subjectTabu Searchen_US
dc.subjectSimulated Annealingen_US
dc.titleSolving a big-scaled hospital facility layout problem with meta-heuristics algorithmsen_US
dc.typeArticleen_US

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