A Software Package and Data Set for the Personal Protective Equipment Matching Problem During COVID-19

Author:

Samorani Michele1ORCID,Bala Ram1ORCID,Jacob Rohit2,He Shuhan34ORCID

Affiliation:

1. Leavey School of Business, Santa Clara University, Santa Clara, California 95053;

2. Project Stanley Inc., Pleasanton, California 94566;

3. Massachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts 02114;

4. Harvard Medical School, Boston, Massachusetts 02115

Abstract

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.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Engineering

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