3-D network routing of brazil nut harvesting in tropical forests

Detalhes bibliográficos
Autor(a) principal: Sabioni Lopes, Monique
Data de Publicação: 2023
Outros Autores: Alvares Soares Ribeiro, Carlos Antonio, Eduardo Marcatti, Gustavo, Mendes Teixeira, Ana Paula, Fonseca Domingues, Getulio, Nader Mardeni, Vinícius Duarte, Rosa dos Santos, Alexandre, Garcia Leite, Helio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/3242
Resumo: Background: The aim of this research is to optimize the routing of Brazil nut harvesting in order to reduce labor costs and promote an equitable redistribution of placements among extractive interests. The study area was located in the Tahuamanu province, designated a Biosphere Reserve by UNESCO, in the Madre de Dios region of Peru. Planning for harvesting activities is vital to support sustainableuse of the tropical forest by extractive communities, generating profit while minimizing adverse impacts on the forest. A location-allocation model was used to redistribute extraction placement areas, taking into account the number of trees and productivity for analysis. To optimize the order of nut load pickups at the placement areas, the vehicle routing problem (VRP) was used to minimize real distance and reduce traversal time.Results: The time taken to cover the route without delays was 08:46’, which is superior to the time taken to minimize the distance. However, the total delay time was 05:10’.Conclusion: Network analyses were effective in achieving the reallocation of placement areas and optimizing Brazil nut harvest routes.
id UFLA-3_6511c6808959e5756c0c233df99358b6
oai_identifier_str oai:cerne.ufla.br:article/3242
network_acronym_str UFLA-3
network_name_str Cerne (Online)
repository_id_str
spelling 3-D network routing of brazil nut harvesting in tropical forestsEnglishBertholletia excelsavehicle routing problemoptimizationnetwork analysisAmazonBackground: The aim of this research is to optimize the routing of Brazil nut harvesting in order to reduce labor costs and promote an equitable redistribution of placements among extractive interests. The study area was located in the Tahuamanu province, designated a Biosphere Reserve by UNESCO, in the Madre de Dios region of Peru. Planning for harvesting activities is vital to support sustainableuse of the tropical forest by extractive communities, generating profit while minimizing adverse impacts on the forest. A location-allocation model was used to redistribute extraction placement areas, taking into account the number of trees and productivity for analysis. To optimize the order of nut load pickups at the placement areas, the vehicle routing problem (VRP) was used to minimize real distance and reduce traversal time.Results: The time taken to cover the route without delays was 08:46’, which is superior to the time taken to minimize the distance. However, the total delay time was 05:10’.Conclusion: Network analyses were effective in achieving the reallocation of placement areas and optimizing Brazil nut harvest routes.CERNECERNE2023-06-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/3242CERNE; Vol. 29 No. 1 (2023); e-103242CERNE; v. 29 n. 1 (2023); e-1032422317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/3242/1342http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSabioni Lopes, MoniqueAlvares Soares Ribeiro, Carlos AntonioEduardo Marcatti, GustavoMendes Teixeira, Ana Paula Fonseca Domingues, GetulioNader Mardeni, Vinícius DuarteRosa dos Santos, AlexandreGarcia Leite, Helio2023-06-21T12:32:00Zoai:cerne.ufla.br:article/3242Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:51.512071Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv 3-D network routing of brazil nut harvesting in tropical forests
English
title 3-D network routing of brazil nut harvesting in tropical forests
spellingShingle 3-D network routing of brazil nut harvesting in tropical forests
Sabioni Lopes, Monique
Bertholletia excelsa
vehicle routing problem
optimization
network analysis
Amazon
title_short 3-D network routing of brazil nut harvesting in tropical forests
title_full 3-D network routing of brazil nut harvesting in tropical forests
title_fullStr 3-D network routing of brazil nut harvesting in tropical forests
title_full_unstemmed 3-D network routing of brazil nut harvesting in tropical forests
title_sort 3-D network routing of brazil nut harvesting in tropical forests
author Sabioni Lopes, Monique
author_facet Sabioni Lopes, Monique
Alvares Soares Ribeiro, Carlos Antonio
Eduardo Marcatti, Gustavo
Mendes Teixeira, Ana Paula
Fonseca Domingues, Getulio
Nader Mardeni, Vinícius Duarte
Rosa dos Santos, Alexandre
Garcia Leite, Helio
author_role author
author2 Alvares Soares Ribeiro, Carlos Antonio
Eduardo Marcatti, Gustavo
Mendes Teixeira, Ana Paula
Fonseca Domingues, Getulio
Nader Mardeni, Vinícius Duarte
Rosa dos Santos, Alexandre
Garcia Leite, Helio
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sabioni Lopes, Monique
Alvares Soares Ribeiro, Carlos Antonio
Eduardo Marcatti, Gustavo
Mendes Teixeira, Ana Paula
Fonseca Domingues, Getulio
Nader Mardeni, Vinícius Duarte
Rosa dos Santos, Alexandre
Garcia Leite, Helio
dc.subject.por.fl_str_mv Bertholletia excelsa
vehicle routing problem
optimization
network analysis
Amazon
topic Bertholletia excelsa
vehicle routing problem
optimization
network analysis
Amazon
description Background: The aim of this research is to optimize the routing of Brazil nut harvesting in order to reduce labor costs and promote an equitable redistribution of placements among extractive interests. The study area was located in the Tahuamanu province, designated a Biosphere Reserve by UNESCO, in the Madre de Dios region of Peru. Planning for harvesting activities is vital to support sustainableuse of the tropical forest by extractive communities, generating profit while minimizing adverse impacts on the forest. A location-allocation model was used to redistribute extraction placement areas, taking into account the number of trees and productivity for analysis. To optimize the order of nut load pickups at the placement areas, the vehicle routing problem (VRP) was used to minimize real distance and reduce traversal time.Results: The time taken to cover the route without delays was 08:46’, which is superior to the time taken to minimize the distance. However, the total delay time was 05:10’.Conclusion: Network analyses were effective in achieving the reallocation of placement areas and optimizing Brazil nut harvest routes.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/3242
url https://cerne.ufla.br/site/index.php/CERNE/article/view/3242
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/3242/1342
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 29 No. 1 (2023); e-103242
CERNE; v. 29 n. 1 (2023); e-103242
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
_version_ 1799874944583073792