Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak.

Since the outbreak of the COVID-19 pandemic, many healthcare facilities have suffered from shortages in medical resources, particularly in Personal Protective Equipment (PPE). In this paper, we propose a game-theoretic approach to schedule PPE orders among healthcare facilities. In this PPE game, ea...

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Main Authors: Khaled Abedrabboh, Matthias Pilz, Zaid Al-Fagih, Othman S Al-Fagih, Jean-Christophe Nebel, Luluwah Al-Fagih
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0246110
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spelling doaj-f714c067f8ee4f40819eec5ef5c981812021-03-04T13:01:33ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01162e024611010.1371/journal.pone.0246110Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak.Khaled AbedrabbohMatthias PilzZaid Al-FagihOthman S Al-FagihJean-Christophe NebelLuluwah Al-FagihSince the outbreak of the COVID-19 pandemic, many healthcare facilities have suffered from shortages in medical resources, particularly in Personal Protective Equipment (PPE). In this paper, we propose a game-theoretic approach to schedule PPE orders among healthcare facilities. In this PPE game, each independent healthcare facility optimises its own storage utilisation in order to keep its PPE cost at a minimum. Such a model can reduce peak demand considerably when applied to a variable PPE consumption profile. Experiments conducted for NHS England regions using actual data confirm that the challenge of securing PPE supply during disasters such as COVID-19 can be eased if proper stock management procedures are adopted. These procedures can include early stockpiling, increasing storage capacities and implementing measures that can prolong the time period between successive infection waves, such as social distancing measures. Simulation results suggest that the provision of PPE dedicated storage space can be a viable solution to avoid straining PPE supply chains in case a second wave of COVID-19 infections occurs.https://doi.org/10.1371/journal.pone.0246110
collection DOAJ
language English
format Article
sources DOAJ
author Khaled Abedrabboh
Matthias Pilz
Zaid Al-Fagih
Othman S Al-Fagih
Jean-Christophe Nebel
Luluwah Al-Fagih
spellingShingle Khaled Abedrabboh
Matthias Pilz
Zaid Al-Fagih
Othman S Al-Fagih
Jean-Christophe Nebel
Luluwah Al-Fagih
Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak.
PLoS ONE
author_facet Khaled Abedrabboh
Matthias Pilz
Zaid Al-Fagih
Othman S Al-Fagih
Jean-Christophe Nebel
Luluwah Al-Fagih
author_sort Khaled Abedrabboh
title Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak.
title_short Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak.
title_full Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak.
title_fullStr Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak.
title_full_unstemmed Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak.
title_sort game theory to enhance stock management of personal protective equipment (ppe) during the covid-19 outbreak.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2021-01-01
description Since the outbreak of the COVID-19 pandemic, many healthcare facilities have suffered from shortages in medical resources, particularly in Personal Protective Equipment (PPE). In this paper, we propose a game-theoretic approach to schedule PPE orders among healthcare facilities. In this PPE game, each independent healthcare facility optimises its own storage utilisation in order to keep its PPE cost at a minimum. Such a model can reduce peak demand considerably when applied to a variable PPE consumption profile. Experiments conducted for NHS England regions using actual data confirm that the challenge of securing PPE supply during disasters such as COVID-19 can be eased if proper stock management procedures are adopted. These procedures can include early stockpiling, increasing storage capacities and implementing measures that can prolong the time period between successive infection waves, such as social distancing measures. Simulation results suggest that the provision of PPE dedicated storage space can be a viable solution to avoid straining PPE supply chains in case a second wave of COVID-19 infections occurs.
url https://doi.org/10.1371/journal.pone.0246110
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