A metaheuristic to support the distribution of COVID-19 vaccines

Detalhes bibliográficos
Autor(a) principal: Rodrigues,Augusto José da Silva
Data de Publicação: 2021
Outros Autores: Lima,Gabriel Lopes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132021000100704
Resumo: Abstract Paper aims The aim is to develop a vaccine distribution routing model (VDRM) in order to support governments to mitigate the pandemic caused by COVID-19. Originality As far as we know, no metaheuristics has been developed for vaccine distribution, and specifically, to support the Brazilian government. Research method A metaheuristic is developed based on the combination and adaptation of GRASP (Greedy Randomized Adaptive Search Procedure) with VND (Variable Neighborhood Descent), considering different refinement operators. Finally, as a way of validating the model, a numerical application in the state of Pernambuco (Brazil) was performed. Main findings Metaheuristic proved to be effective for developing adequate planning for the allocation of ampoules with vaccines to combat COVID-19. Effective analysis was obtained in the evaluation of the proposed algorithm, both in terms of computational effort and the quality of the final solution. An efficiency of approximately 75% was obtained in relation to the current distribution procedure adopted by the state of Pernambuco. Implications for theory and practice To mitigate disease, adequate logistics for transporting and distributing vaccines is essential, especially in emergency situations to face pandemic crises. Thus, the developed metaheuristic can support governments and companies in any situation demanded, making the decision of how the distribution of the ampoules will be more agile.
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spelling A metaheuristic to support the distribution of COVID-19 vaccinesCOVID-19Vehicle routingGRASPVNDAbstract Paper aims The aim is to develop a vaccine distribution routing model (VDRM) in order to support governments to mitigate the pandemic caused by COVID-19. Originality As far as we know, no metaheuristics has been developed for vaccine distribution, and specifically, to support the Brazilian government. Research method A metaheuristic is developed based on the combination and adaptation of GRASP (Greedy Randomized Adaptive Search Procedure) with VND (Variable Neighborhood Descent), considering different refinement operators. Finally, as a way of validating the model, a numerical application in the state of Pernambuco (Brazil) was performed. Main findings Metaheuristic proved to be effective for developing adequate planning for the allocation of ampoules with vaccines to combat COVID-19. Effective analysis was obtained in the evaluation of the proposed algorithm, both in terms of computational effort and the quality of the final solution. An efficiency of approximately 75% was obtained in relation to the current distribution procedure adopted by the state of Pernambuco. Implications for theory and practice To mitigate disease, adequate logistics for transporting and distributing vaccines is essential, especially in emergency situations to face pandemic crises. Thus, the developed metaheuristic can support governments and companies in any situation demanded, making the decision of how the distribution of the ampoules will be more agile.Associação Brasileira de Engenharia de Produção2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132021000100704Production v.31 2021reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20210031info:eu-repo/semantics/openAccessRodrigues,Augusto José da SilvaLima,Gabriel Lopeseng2021-10-07T00:00:00Zoai:scielo:S0103-65132021000100704Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2021-10-07T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv A metaheuristic to support the distribution of COVID-19 vaccines
title A metaheuristic to support the distribution of COVID-19 vaccines
spellingShingle A metaheuristic to support the distribution of COVID-19 vaccines
Rodrigues,Augusto José da Silva
COVID-19
Vehicle routing
GRASP
VND
title_short A metaheuristic to support the distribution of COVID-19 vaccines
title_full A metaheuristic to support the distribution of COVID-19 vaccines
title_fullStr A metaheuristic to support the distribution of COVID-19 vaccines
title_full_unstemmed A metaheuristic to support the distribution of COVID-19 vaccines
title_sort A metaheuristic to support the distribution of COVID-19 vaccines
author Rodrigues,Augusto José da Silva
author_facet Rodrigues,Augusto José da Silva
Lima,Gabriel Lopes
author_role author
author2 Lima,Gabriel Lopes
author2_role author
dc.contributor.author.fl_str_mv Rodrigues,Augusto José da Silva
Lima,Gabriel Lopes
dc.subject.por.fl_str_mv COVID-19
Vehicle routing
GRASP
VND
topic COVID-19
Vehicle routing
GRASP
VND
description Abstract Paper aims The aim is to develop a vaccine distribution routing model (VDRM) in order to support governments to mitigate the pandemic caused by COVID-19. Originality As far as we know, no metaheuristics has been developed for vaccine distribution, and specifically, to support the Brazilian government. Research method A metaheuristic is developed based on the combination and adaptation of GRASP (Greedy Randomized Adaptive Search Procedure) with VND (Variable Neighborhood Descent), considering different refinement operators. Finally, as a way of validating the model, a numerical application in the state of Pernambuco (Brazil) was performed. Main findings Metaheuristic proved to be effective for developing adequate planning for the allocation of ampoules with vaccines to combat COVID-19. Effective analysis was obtained in the evaluation of the proposed algorithm, both in terms of computational effort and the quality of the final solution. An efficiency of approximately 75% was obtained in relation to the current distribution procedure adopted by the state of Pernambuco. Implications for theory and practice To mitigate disease, adequate logistics for transporting and distributing vaccines is essential, especially in emergency situations to face pandemic crises. Thus, the developed metaheuristic can support governments and companies in any situation demanded, making the decision of how the distribution of the ampoules will be more agile.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132021000100704
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/0103-6513.20210031
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.31 2021
reponame:Production
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
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reponame_str Production
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