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A Partial Coverage Hierarchical Location Allocation Model for Health Services

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2023

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inderscience Enterprises Ltd

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Abstract

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]

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Keywords

Hierarchical Maximal Covering Location Problem, Partial Coverage, Gradual Coverage, Referral, Heuristics, Genetic Algorithm

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Citation

Karasakal, O.; Karasakal, E., Töreyen, Ö. (2023). "A partial coverage hierarchical location allocation model for health services", European Journal Of Industrial Engineering, Vol.17, No. 4, pp. 115-147.

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Q4

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Q2
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4

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17

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1

Start Page

115

End Page

147
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