Publication:
A model for locating preventive health care facilities

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dc.contributor.authorDogan, Kerim
dc.contributor.authorKaratas, Mumtaz
dc.contributor.authorYakıcı, Ertan
dc.contributor.institutionDogan, Kerim, Barbaros Naval Science and Engineering Institute, Milli Savunma Üniversitesi, Istanbul, Turkey
dc.contributor.institutionKaratas, Mumtaz, Department of Industrial Engineering, Milli Savunma Üniversitesi, Istanbul, Turkey, Department of Industrial Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey
dc.contributor.institutionYakıcı, Ertan, Department of Industrial Engineering, Milli Savunma Üniversitesi, Istanbul, Turkey
dc.date.accessioned2025-10-05T15:45:59Z
dc.date.issued2020
dc.description.abstractIn this paper, we focus on the problem of locating preventive health care (PHC) facilities. The most important factors that promote participation rates in PHC programs include the establishment of an appropriate infrastructure and the provision of a satisfactory quality of care. For this purpose, we develop a strategic level multi-objective mixed integer linear programming model for locating PHC facilities to ensure maximum participation and provide timely service to potential clients. We, then, apply the model to a case study of locating Cancer Early Diagnosis, Screening and Training Centers in Istanbul, Turkey and solve it considering the forecasted population of each district in Istanbul for the next 15 years. We also perform a sensitivity analysis to quantify the effect of different weighting strategies on the value of each term in the objective function. © 2020 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1007/s10100-019-00621-4
dc.identifier.endpage1121
dc.identifier.issn16139178
dc.identifier.issn1435246X
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85065246314
dc.identifier.startpage1091
dc.identifier.urihttps://doi.org/10.1007/s10100-019-00621-4
dc.identifier.urihttps://hdl.handle.net/20.500.14719/10346
dc.identifier.volume28
dc.language.isoen
dc.publisherSpringer
dc.relation.sourceCentral European Journal of Operations Research
dc.subject.authorkeywordsCancer Screening
dc.subject.authorkeywordsFacility Location
dc.subject.authorkeywordsGoal Programming
dc.subject.authorkeywordsPreventive Health Care
dc.titleA model for locating preventive health care facilities
dc.typeArticle
dcterms.referencesAboolian, Robert, Location and allocation of service units on a congested network, IIE Transactions (Institute of Industrial Engineers), 40, 4, pp. 422-433, (2008), Aboolian, Robert, Maximal accessibility network design in the public sector, Transportation Science, 50, 1, pp. 336-347, (2016), Industrial Engineering and Management, (2014), Ahmadi-Javid, Amir, A survey of healthcare facility location, Computers and Operations Research, 79, pp. 223-263, (2017), Report on the Implementation of the Council Recommendation on Cancer Screening First Report, (2008), Baron, Roy C., Client-Directed Interventions to Increase Community Demand for Breast, Cervical, and Colorectal Cancer Screening. A Systematic Review, American Journal of Preventive Medicine, 35, 1 SUPPL., pp. S34-S55, (2008), Baron, Opher, Facility location with stochastic demand and constraints on waiting time, Manufacturing and Service Operations Management, 10, 3, pp. 484-505, (2008), Berman, Oded, Location of congested capacitated facilities with distance-sensitive demand, IIE Transactions (Institute of Industrial Engineers), 38, 3, pp. 213-221, (2006), Berman, Oded, The generalized maximal covering location problem, Computers and Operations Research, 29, 6, pp. 563-581, (2002), Location Science, (2015)
dspace.entity.typePublication
local.indexed.atScopus
person.identifier.scopus-author-id57208601977
person.identifier.scopus-author-id56533522900
person.identifier.scopus-author-id41262760100

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