A partial coverage hierarchical location allocation model for health services

Date

2023-01-01

Author

Karasakal, Orhan
Karasakal, Esra
Toreyen, Ozgun

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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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Citation Formats

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.