Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1108/JHLSCM-09-2020-0078 http://hdl.handle.net/11449/206128 |
Resumo: | Purpose: This study, a practice forum article, aims to presents the lessons learned and the development of a discrete event simulation model to support the funerary system management of São Paulo City, Brazil, during the COVID-19 pandemic. Design/methodology/approach: A discrete event simulation model was developed by the authors as soon as the pandemic affected the city of São Paulo, Brazil. Based on the model, several scenarios with varying minimum, median and peak demands (i.e. the number of deaths) were tested and evaluated. The lessons learned from the scenario analysis and implementation of the decision-making of the city government of São Paulo are discussed in this article. Findings: The lessons learned about the coordination, inventory management and other operational characteristics in funerary logistics during the pandemic are shared with a model, which quantifies the demand for vehicles, coffins, graves and teams in the cemeteries in different simulated scenarios. Practical implications: The São Paulo State Civil Defense used this information during the pandemic to prepare the funerary system of the municipality. Social implications: The study presents methods to mitigate the sanitary, environmental and psychosocial problems related to the funerary system. Originality/value: Studies on funerary systems are scarce. This study presents the results that supported the dimensioning of the funerary system during the pandemic and operational lessons about the logistics to support decision-making in future events. |
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Repositório Institucional da UNESP |
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Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, BrazilCoronavirusDecision-makingFuneraryLessons learnedSimulationPurpose: This study, a practice forum article, aims to presents the lessons learned and the development of a discrete event simulation model to support the funerary system management of São Paulo City, Brazil, during the COVID-19 pandemic. Design/methodology/approach: A discrete event simulation model was developed by the authors as soon as the pandemic affected the city of São Paulo, Brazil. Based on the model, several scenarios with varying minimum, median and peak demands (i.e. the number of deaths) were tested and evaluated. The lessons learned from the scenario analysis and implementation of the decision-making of the city government of São Paulo are discussed in this article. Findings: The lessons learned about the coordination, inventory management and other operational characteristics in funerary logistics during the pandemic are shared with a model, which quantifies the demand for vehicles, coffins, graves and teams in the cemeteries in different simulated scenarios. Practical implications: The São Paulo State Civil Defense used this information during the pandemic to prepare the funerary system of the municipality. Social implications: The study presents methods to mitigate the sanitary, environmental and psychosocial problems related to the funerary system. Originality/value: Studies on funerary systems are scarce. This study presents the results that supported the dimensioning of the funerary system during the pandemic and operational lessons about the logistics to support decision-making in future events.Civil Defense São Paulo State GovernmentEnvironmental Engineering São José dos CamposParagon Decision ScienceFatec São José dos Campos Centro Paula Souza São José dos CamposGraduate Program in Logistics Systems Engineering USPSão Paulo State GovernmentUniversidade Estadual Paulista (Unesp)Paragon Decision ScienceSão José dos CamposUniversidade de São Paulo (USP)de Brito Jr, IrineuCunha, Manoel Henrique CapistranoTozi, Luiz AntonioFranzese, Luiz AugustoFrazão, Márcia Lorena da SilvaBressane, Adriano2021-06-25T10:27:02Z2021-06-25T10:27:02Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1108/JHLSCM-09-2020-0078Journal of Humanitarian Logistics and Supply Chain Management.2042-67552042-6747http://hdl.handle.net/11449/20612810.1108/JHLSCM-09-2020-00782-s2.0-85103432373Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Humanitarian Logistics and Supply Chain Managementinfo:eu-repo/semantics/openAccess2021-10-22T21:03:15Zoai:repositorio.unesp.br:11449/206128Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:52:51.059804Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil |
title |
Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil |
spellingShingle |
Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil de Brito Jr, Irineu Coronavirus Decision-making Funerary Lessons learned Simulation |
title_short |
Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil |
title_full |
Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil |
title_fullStr |
Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil |
title_full_unstemmed |
Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil |
title_sort |
Managing funerary systems in the pandemic: lessons learned and an application of a scenario simulation in São Paulo City, Brazil |
author |
de Brito Jr, Irineu |
author_facet |
de Brito Jr, Irineu Cunha, Manoel Henrique Capistrano Tozi, Luiz Antonio Franzese, Luiz Augusto Frazão, Márcia Lorena da Silva Bressane, Adriano |
author_role |
author |
author2 |
Cunha, Manoel Henrique Capistrano Tozi, Luiz Antonio Franzese, Luiz Augusto Frazão, Márcia Lorena da Silva Bressane, Adriano |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
São Paulo State Government Universidade Estadual Paulista (Unesp) Paragon Decision Science São José dos Campos Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
de Brito Jr, Irineu Cunha, Manoel Henrique Capistrano Tozi, Luiz Antonio Franzese, Luiz Augusto Frazão, Márcia Lorena da Silva Bressane, Adriano |
dc.subject.por.fl_str_mv |
Coronavirus Decision-making Funerary Lessons learned Simulation |
topic |
Coronavirus Decision-making Funerary Lessons learned Simulation |
description |
Purpose: This study, a practice forum article, aims to presents the lessons learned and the development of a discrete event simulation model to support the funerary system management of São Paulo City, Brazil, during the COVID-19 pandemic. Design/methodology/approach: A discrete event simulation model was developed by the authors as soon as the pandemic affected the city of São Paulo, Brazil. Based on the model, several scenarios with varying minimum, median and peak demands (i.e. the number of deaths) were tested and evaluated. The lessons learned from the scenario analysis and implementation of the decision-making of the city government of São Paulo are discussed in this article. Findings: The lessons learned about the coordination, inventory management and other operational characteristics in funerary logistics during the pandemic are shared with a model, which quantifies the demand for vehicles, coffins, graves and teams in the cemeteries in different simulated scenarios. Practical implications: The São Paulo State Civil Defense used this information during the pandemic to prepare the funerary system of the municipality. Social implications: The study presents methods to mitigate the sanitary, environmental and psychosocial problems related to the funerary system. Originality/value: Studies on funerary systems are scarce. This study presents the results that supported the dimensioning of the funerary system during the pandemic and operational lessons about the logistics to support decision-making in future events. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:27:02Z 2021-06-25T10:27:02Z 2021-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1108/JHLSCM-09-2020-0078 Journal of Humanitarian Logistics and Supply Chain Management. 2042-6755 2042-6747 http://hdl.handle.net/11449/206128 10.1108/JHLSCM-09-2020-0078 2-s2.0-85103432373 |
url |
http://dx.doi.org/10.1108/JHLSCM-09-2020-0078 http://hdl.handle.net/11449/206128 |
identifier_str_mv |
Journal of Humanitarian Logistics and Supply Chain Management. 2042-6755 2042-6747 10.1108/JHLSCM-09-2020-0078 2-s2.0-85103432373 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Humanitarian Logistics and Supply Chain Management |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129368934842368 |