3-D network routing of brazil nut harvesting in tropical forests
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
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. |
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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 |