Publication date: Oct 24, 2024
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.
Concepts | Keywords |
---|---|
Anal | healthcare coalitions |
China | supply prepositioning |
Donation | |
Healthcarecoalitions | |
Stage |
Semantics
Type | Source | Name |
---|---|---|
disease | MESH | Emergency |
disease | MESH | COVID-19 |
drug | DRUGBANK | Tropicamide |