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A partial coverage hierarchical location allocation model for health services
Date
2023-01-01
Author
Karasakal, Orhan
Karasakal, Esra
Toreyen, Ozgun
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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We consider a hierarchical maximal covering location problem (HMCLP) to locate health centres and hospitals so that the maximum demand is covered by two levels of services in a successively inclusive hierarchy. We extend the HMCLP by introducing the partial coverage and a new definition of the referral. The proposed model may enable an informed decision on the healthcare system when dynamic adaptation is required, such as a COVID-19 pandemic. We define the referral as coverage of health centres by hospitals. A hospital may also cover demand through referral. The proposed model is solved optimally for small problems. For large problems, we propose a customised genetic algorithm. Computational study shows that the GA performs well, and the partial coverage substantially affects the optimal solutions. [Submitted: 20 January 2021; Accepted: 15 January 2022]
Subject Keywords
hierarchical maximal covering location problem
,
partial coverage
,
gradual coverage
,
referral
,
heuristics
,
genetic algorithm
,
FACILITY LOCATION
,
GENETIC ALGORITHMS
URI
https://hdl.handle.net/11511/102210
Journal
EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING
DOI
https://doi.org/10.1504/ejie.2023.127742
Collections
Department of Industrial Engineering, Article
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BibTeX
O. Karasakal, E. Karasakal, and O. Toreyen, “A partial coverage hierarchical location allocation model for health services,”
EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING
, vol. 17, no. 1, pp. 115–147, 2023, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/102210.