A Partial Coverage Hierarchical Location Allocation Model for Health Services
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Date
2023
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Publisher
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.
WoS Q
Q4
Scopus Q
Q2

OpenCitations Citation Count
4
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Volume
17
Issue
1
Start Page
115
End Page
147
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1.28184538
Sustainable Development Goals
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ZERO HUNGER

3
GOOD HEALTH AND WELL-BEING

8
DECENT WORK AND ECONOMIC GROWTH

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INDUSTRY, INNOVATION AND INFRASTRUCTURE

10
REDUCED INEQUALITIES

14
LIFE BELOW WATER

17
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