Solving a big-scaled hospital facility layout problem with meta-heuristics algorithms
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier - Division Reed Elsevier India Pvt Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Hospital Facility Layout Problem, Migrating Birds Optimization, Optimization Problem, Tabu Search, Simulated Annealing
Kaynak
Engineering Science And Technology-An International Journal-Jestech
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
23
Sayı
4
