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A Partial Coverage Hierarchical Location Allocation Model for Health Services

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Date

2023

Journal Title

Journal ISSN

Volume Title

Publisher

Inderscience Publishers

Open Access Color

Green Open Access

No

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Publicly Funded

No
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Average
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Average
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Top 10%

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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. © 2023 Inderscience Enterprises Ltd.

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Keywords

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

Fields of Science

Citation

WoS Q

Q4

Scopus Q

Q2
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OpenCitations Citation Count
N/A

Source

European Journal of Industrial Engineering

Volume

17

Issue

1

Start Page

115

End Page

147
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Scopus : 8

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Mendeley Readers : 7

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