Abstract
The containment of the COVID-19 pandemic was significantly affected by the unbalanced distribution of emergency supplies, low coordinated transport efficiency, high costs, and the inability of nonprofit organizations to handle the emergency supplies efficiently. Based on the COVID-19 experience, in this paper, we build a cloud platform for emergency supplies distribution to reduce the asymmetry of emergency logistics information, reduce the costs, and improve the efficiency of emergency supplies distribution. Our proposed method uses a genetic algorithm with the monarch scheme to optimize the urban emergency supplies distribution. The numerical results and sensitivity analysis for a sample network indicate that using the proposed platform the integrated cost in different cities are reduced by 29.01%, 28.67%, and 22.73%, the required time in different cities are reduced by 22.98%, 26.59%, and 36.65%. The results suggest that the proposed method reduces the integrated cost and transportation time and finds the optimal distribution path.
Highlights
Introduction e outbreak of COVID19 at the beginning of 2020 resulted in a significant increase in demand for emergency supplies worldwide. is unprecedented situation severely affected the coordination of demand and supply due to inaccurate decision-making and inefficient distribution of emergency supplies
E emergency services in the epidemic are defined by the National Disaster Medical System (NDMS) as the set of urgent healthcare or medical services required in response to significant/catastrophic incidents, such as natural disasters, significant outbreaks of infectious diseases, and bioterrorist attacks [1]
Their spread can be effectively contained by building an effective emergency logistics system. is paper proposes a cloud computing-based platform to incorporate Big Data, informatization, and intelligence to address the emergency supplies distribution problem in the affected regions
Summary
Based on the existing research on Big Data and informatization in emergency logistics [32,33,34], we built a cloud computing platform for emergency supplies distribution in the epidemic. Based on the aforementioned framework and combined with the epidemic prevention requirements of COVID-19, this paper builds an emergency supplies distribution auxiliary system in COVID-19 based on the existing GuangDong Platform for Common GeoSptial Information Services (http://guangdong.tianditu.gov.cn/). Based on the unified data management provided by the cloud platform and hierarchical sharing services for emergency demand, the hierarchical management of epidemic prevention and control can be quickly realized.
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