A Genetic algorithm for healthcare facility location problem

Download
2016
İşbilir, Melike
In this study, we consider the problem of locating emergency healthcare facilities in urban areas. Upon emergency occurrence, patients are directed to any one of the emergency centers with a likelihood that depends on the travel time. Moreover, the survival, that represents the severity of the consequences of the emergency situation, is also probabilistic and is a function of the travel time. A mathematical model is constructed under the objective of maximizing expected number of survivors while determining the location of predetermined number of facilities. Characteristics of this model under certain situations, such as when a concave or convex survival function is used, or when the facility is located on a line or a network, are investigated. After presenting the analytical findings, we propose a Genetic Algorithm based solution approach to solve the model for locating healthcare facilities on a network. Lastly, we present its performance and findings of the numerical study.

Suggestions

A location problem for emergency healthcare facilites
Bayındır, Zeynep Pelin; İyigün, Cem (null; 2017-09-08)
In this study, we consider the problem of locating emergency healthcare facilities in urban areas. Upon emergency occurrence, patients are directed to any one of the emergency centers with a likelihood that depends on the travel time. Moreover, the survival, that represents the severity of the consequences of the emergency situation, is also probabilistic and is a function of the travel time. A mathematical model is constructed under the objective of maximizing expected number of survivors while determining...
A multi-objective genetic algorithm for a bi-objective facility location problem with partial coverage
Karasakal, Esra (2016-04-01)
In this study, we present a bi-objective facility location model that considers both partial coverage and service to uncovered demands. Due to limited number of facilities to be opened, some of the demand nodes may not be within full or partial coverage distance of a facility. However, a demand node that is not within the coverage distance of a facility should get service from the nearest facility within the shortest possible time. In this model, it is assumed that demand nodes within the predefined distanc...
Network planning of walk-in clinics on roadsides in africa
Taymaz, Sine; İyigün, Cem; Bayındır, Zeynep Pelin; Department of Industrial Engineering (2013)
This study discusses the problem of finding the optimal location of “walk-in clinics” specialized in healthcare along the transportation lines that would enable maximum coverage along the roads for the mobile populations and their related local communities. As the mobile populations are flowing on the routes unremittingly, the problem differs from other location problems. Every member of the mobile population would require a specialized service for their diseases and needs to access these services in a cont...
An Investigation on the areas and locations of sunlight patches in patient rooms
Tanrıöver, Sezin; Düzgüneş, Arda; Department of Building Science in Architecture (2006)
Explored in this study were the patterns of direct sunlight received by differentlyoriented patient rooms in healthcare facilities. Desktop Radiance 1.02® software was used to simulate conditions in a typical double patient room. The area and locations of sunlight patches on room surfaces were considered as analog indicators for the investigation. The setting was defined as Ankara, Turkey. Seven orientations and 3 positions of standard-size window openings were studied in different combinations at solstices...
A novel report generation approach for medical applications : the sisds methodology and its applications
Kuru, Kaya; Arda, Kemal; Department of Medical Informatics (2010)
In medicine, reliable data are available only in a few areas and necessary information on prognostic implications is generally missing. In spite of the fact that a great amount of money has been invested to ease the process, an effective solution has yet to be found. Unfortunately, existing data collection approaches in medicine seem inadequate to provide accurate and high quality data, which is a prerequisite for building a robust and effective DDSS. In this thesis, many different medical reporting methodo...
Citation Formats
M. İşbilir, “A Genetic algorithm for healthcare facility location problem,” M.S. - Master of Science, Middle East Technical University, 2016.