Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1399
Title: Solving a big-scaled hospital facility layout problem with meta-heuristics algorithms
Authors: Tongur, Vahit
Hacıbeyoğlu, Mehmet
Ülker, Erkan
Keywords: Hospital Facility Layout Problem
Migrating Birds Optimization
Optimization Problem
Tabu Search
Simulated Annealing
Migrating Birds Optimization
Simulated Annealing Algorithm
Tabu Search Algorithm
Vehicle-Routing Problem
Trends
Publisher: ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD
Abstract: The 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.
URI: https://doi.org/10.1016/j.jestch.2019.10.006
https://hdl.handle.net/20.500.13091/1399
ISSN: 2215-0986
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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