COVID-19 repatriation programs — Classification and optimization models

Due to the COVID-19 pandemic and the subsequent measures to control the spread of the virus by border closure and suspension of commercial flights, decision-makers in several countries had to deal with one or more forms of repatriation problems, international and domestic. In addressing an internati...

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Autores principales:	Sameh Al-Shihabi, Mohammed M. AlDurgham, Mazen Arafeh
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Repatriation COVID-19 Transportation Scheduling Optimization Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/3bd5f0f7620f438babf9a872505de606
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spelling	oai:doaj.org-article:3bd5f0f7620f438babf9a872505de6062021-12-04T04:35:49ZCOVID-19 repatriation programs — Classification and optimization models2590-198210.1016/j.trip.2021.100499https://doaj.org/article/3bd5f0f7620f438babf9a872505de6062021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2590198221002049https://doaj.org/toc/2590-1982Due to the COVID-19 pandemic and the subsequent measures to control the spread of the virus by border closure and suspension of commercial flights, decision-makers in several countries had to deal with one or more forms of repatriation problems, international and domestic. In addressing an international repatriation problem, a country must schedule flights to return its citizens. Typically, the flight schedules of commercial airlines are announced, and passengers buy their seats accordingly. However, in repatriation, the opposite happens: citizens express their wishes to return to their countries, and flights need to be scheduled. Due to several constraints, decision-makers should repatriate the most vulnerable citizens first. In this work, we offer an overview of repatriation problems from an optimization perspective by visiting real-life cases. We compare the Indian and Jordanian repatriation programs to find similarities and differences between the two. We also develop several mixed-integer linear programs (MILPs) to model different repatriation phases and solve respective illustrative examples to demonstrate the use of the MILPs. Last, we solve two stages of a problem that resembles Jordan’s actual repatriation program. Decision-makers and researchers may use and extend this summary and the optimization models for any future pandemic that might lead to border closures and new repatriation problems.Sameh Al-ShihabiMohammed M. AlDurghamMazen ArafehElsevierarticleRepatriationCOVID-19TransportationSchedulingOptimizationTransportation and communicationsHE1-9990ENTransportation Research Interdisciplinary Perspectives, Vol 12, Iss , Pp 100499- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Repatriation COVID-19 Transportation Scheduling Optimization Transportation and communications HE1-9990
spellingShingle	Repatriation COVID-19 Transportation Scheduling Optimization Transportation and communications HE1-9990 Sameh Al-Shihabi Mohammed M. AlDurgham Mazen Arafeh COVID-19 repatriation programs — Classification and optimization models
description	Due to the COVID-19 pandemic and the subsequent measures to control the spread of the virus by border closure and suspension of commercial flights, decision-makers in several countries had to deal with one or more forms of repatriation problems, international and domestic. In addressing an international repatriation problem, a country must schedule flights to return its citizens. Typically, the flight schedules of commercial airlines are announced, and passengers buy their seats accordingly. However, in repatriation, the opposite happens: citizens express their wishes to return to their countries, and flights need to be scheduled. Due to several constraints, decision-makers should repatriate the most vulnerable citizens first. In this work, we offer an overview of repatriation problems from an optimization perspective by visiting real-life cases. We compare the Indian and Jordanian repatriation programs to find similarities and differences between the two. We also develop several mixed-integer linear programs (MILPs) to model different repatriation phases and solve respective illustrative examples to demonstrate the use of the MILPs. Last, we solve two stages of a problem that resembles Jordan’s actual repatriation program. Decision-makers and researchers may use and extend this summary and the optimization models for any future pandemic that might lead to border closures and new repatriation problems.
format	article
author	Sameh Al-Shihabi Mohammed M. AlDurgham Mazen Arafeh
author_facet	Sameh Al-Shihabi Mohammed M. AlDurgham Mazen Arafeh
author_sort	Sameh Al-Shihabi
title	COVID-19 repatriation programs — Classification and optimization models
title_short	COVID-19 repatriation programs — Classification and optimization models
title_full	COVID-19 repatriation programs — Classification and optimization models
title_fullStr	COVID-19 repatriation programs — Classification and optimization models
title_full_unstemmed	COVID-19 repatriation programs — Classification and optimization models
title_sort	covid-19 repatriation programs — classification and optimization models
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3bd5f0f7620f438babf9a872505de606
work_keys_str_mv	AT samehalshihabi covid19repatriationprogramsclassificationandoptimizationmodels AT mohammedmaldurgham covid19repatriationprogramsclassificationandoptimizationmodels AT mazenarafeh covid19repatriationprogramsclassificationandoptimizationmodels
_version_	1718372905923903488

COVID-19 repatriation programs — Classification and optimization models

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