个人防护装备
2019年冠状病毒病(COVID-19)
匹配(统计)
软件
计算机科学
集合(抽象数据类型)
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
2019-20冠状病毒爆发
大流行
实时计算
医学
病毒学
操作系统
传染病(医学专业)
病理
爆发
程序设计语言
疾病
作者
Michele Samorani,Ram Bala,Rohit Jacob,Shuhan He
出处
期刊:Informs Journal on Computing
日期:2022-06-14
卷期号:34 (5): 2754-2761
被引量:2
标识
DOI:10.1287/ijoc.2022.1203
摘要
During the COVID-19 pandemic, Get Us PPE provided a platform aimed at connecting prospective donors of personal protective equipment (PPE) to prospective recipients of PPE. Requests by donors and recipients were collected over time, and periodically, the PPE matching problem was solved in order to instruct each donor to ship a certain quantity of PPE to a given recipient. The objectives of the PPE matching problem include maximizing the recipients’ fill rate, minimizing the total shipping distance, minimizing the holding time of PPE, and minimizing the number of shipments of each donor. This paper presents a software framework to facilitate the development of methodologies to solve the PPE matching problem and their testing on a real-world data set collected by Get Us PPE during the COVID-19 pandemic. Both software and data set are available on GitHub.
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