Fuzzy bi-objective preventive health care network design

Warning The system is temporarily closed to updates for reporting purpose.

Davari, Soheil and Kılıç, Kemal and Ertek, Gürdal (2015) Fuzzy bi-objective preventive health care network design. Health Care Management Science, 18 (3). pp. 303-317. ISSN 1386-9620 (Print) 1572-9389 (Online)

This is the latest version of this item.

[thumbnail of This is a RoMEO green journal -- author can archive pre-print (ie pre-refereeing)] PDF (This is a RoMEO green journal -- author can archive pre-print (ie pre-refereeing))
SU_ResearchRepository_Version.pdf

Download (2MB)

Abstract

Preventive health care is unlike health care for acute ailments, as people are less alert to their unknown medical problems. In order to motivate public and to attain desired participation levels for preventive programs, the attractiveness of the health care facility is a major concern. Health economics literature indicates that attractiveness of a facility is significantly influenced by proximity of the clients to it. Hence attractiveness is generally modelled as a function of distance. However, abundant empirical evidence suggests that other qualitative factors such as perceived quality, attractions nearby, amenities, etc. also influence attractiveness. Therefore, a realistic measure should incorporate the vagueness in the concept of attractiveness to the model. The public policy makers should also maintain the equity among various neighborhoods, which should be considered as a second objective. Finally, even though the general tendency in the literature is to focus on health benefits, the cost effectiveness is still a factor that should be considered. In this paper, a fuzzy bi-objective model with budget constraints is developed. Later, by modelling the attractiveness by means of fuzzy triangular numbers and treating the budget constraint as a soft constraint, a modified (and more realistic) version of the model is introduced. Two solution methodologies, namely fuzzy goal programming and fuzzy chance constrained optimization are proposed as solutions. Both the original and the modified models are solved within the framework of a case study in Istanbul, Turkey. In the case study, the Microsoft Bing Map is utilized in order to determine more accurate distance measures among the nodes.
Item Type: Article
Uncontrolled Keywords: Preventive health care; Multi-objective optimization; Fuzzy goal programming; Facility location
Subjects: T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences
Depositing User: Kemal Kılıç
Date Deposited: 17 Dec 2015 09:56
Last Modified: 23 Aug 2019 12:22
URI: https://research.sabanciuniv.edu/id/eprint/27805

Available Versions of this Item

Actions (login required)

View Item
View Item