Emergency medical supply planning considering prepositioning and dynamic in‐kind donation management in healthcare coalitions

This study tackles an integrated emergency medical supply planning problem, which incorporates supply prepositioning and dynamic in-kind donation management in healthcare coalitions. Although this problem is vital for field practice, it is not investigated in the existing emergency supply planning literature. To fill the gap, we propose a two-stage stochastic programming model, which facilitates the planning of emergency medical supply prepositioning before disasters and dynamic supply transshipment and in-kind donation solicitation and distribution after disasters. With a case study on the healthcare coalition of West China Hospital in Sichuan Province of China under the background of the COVID-19 epidemic, the proposed model and seven comparison models are optimally solved to show the effectiveness and benefits of our model. We conduct sensitivity analysis to generate managerial insights and policy suggestions for better emergency medical supply management practices in healthcare coalitions.

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Publication Details

Journal
Risk Analysis
Published
2024-10-24
DOI
https://doi.org/10.1111/risa.17667
Citations
2
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
1.35

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article

Emergency medical supply planning considering prepositioning and dynamic in‐kind donation management in healthcare coalitions

Li Luo, Qingyi Wang, Renshan Zhang
2 citations
Risk Analysis
Facility Location and Emergency Management
1.35
article

Emergency medical supply planning considering prepositioning and dynamic in‐kind donation management in healthcare coalitions

Li Luo, Qingyi Wang, Renshan Zhang
article en
2 citations

Abstract

This study tackles an integrated emergency medical supply planning problem, which incorporates supply prepositioning and dynamic in-kind donation management in healthcare coalitions. Although this problem is vital for field practice, it is not investigated in the existing emergency supply planning literature. To fill the gap, we propose a two-stage stochastic programming model, which facilitates the planning of emergency medical supply prepositioning before disasters and dynamic supply transshipment and in-kind donation solicitation and distribution after disasters. With a case study on the healthcare coalition of West China Hospital in Sichuan Province of China under the background of the COVID-19 epidemic, the proposed model and seven comparison models are optimally solved to show the effectiveness and benefits of our model. We conduct sensitivity analysis to generate managerial insights and policy suggestions for better emergency medical supply management practices in healthcare coalitions.

Risk AnalysisVol. 45(6)
Sichuan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province
Openalex Percentile: Top 15%
Facility Location and Emergency Management
1.35
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Emergency medical supply planning considering prepositioning and dynamic in‐kind donation management in healthcare coalitions — Li Luo, Qingyi Wang, et al. · Risk Analysis (2024) | TGRS Research Map | TGRS