Spatial Forest Planning for Optimized Harvest Scheduling

Detalhes bibliográficos
Autor(a) principal: Stang,Mariana Bussolo
Data de Publicação: 2019
Outros Autores: Arce,Julio Eduardo, Machado,Sebastião do Amaral, Belavenutti,Pedro Henrique, Fiorentin,Luan Demarco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100132
Resumo: ABSTRACT The aim of this study was to develop a mathematical model for the spatial forest planning of harvest activity scheduling. Thirty-eight (38) blocks were formed from stands aged 13 to 17 years considering a total area limit set to 350 hectares. The model was built in Excel ® spreadsheet and solved by CPLEX® optimization software using the Branch and bound method for the linear programming of problems with integer variables. The results of optimization are presented in the form of a map of spatial distribution of the selected blocks. The total harvested area was 5,989 hectares and the volume generated was 2,956,913 m3 in a planning horizon of five years. Higher results compared with those of traditional planning and efficiency to optimize forest harvesting proved to be a viable alternative to the inclusion of space and operational issues associated with forest harvesting.
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spelling Spatial Forest Planning for Optimized Harvest Schedulinggeographic information systemtactical planninglinear programmingABSTRACT The aim of this study was to develop a mathematical model for the spatial forest planning of harvest activity scheduling. Thirty-eight (38) blocks were formed from stands aged 13 to 17 years considering a total area limit set to 350 hectares. The model was built in Excel ® spreadsheet and solved by CPLEX® optimization software using the Branch and bound method for the linear programming of problems with integer variables. The results of optimization are presented in the form of a map of spatial distribution of the selected blocks. The total harvested area was 5,989 hectares and the volume generated was 2,956,913 m3 in a planning horizon of five years. Higher results compared with those of traditional planning and efficiency to optimize forest harvesting proved to be a viable alternative to the inclusion of space and operational issues associated with forest harvesting.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100132Floresta e Ambiente v.26 n.1 2019reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.010016info:eu-repo/semantics/openAccessStang,Mariana BussoloArce,Julio EduardoMachado,Sebastião do AmaralBelavenutti,Pedro HenriqueFiorentin,Luan Demarcoeng2019-02-04T00:00:00Zoai:scielo:S2179-80872019000100132Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2019-02-04T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Spatial Forest Planning for Optimized Harvest Scheduling
title Spatial Forest Planning for Optimized Harvest Scheduling
spellingShingle Spatial Forest Planning for Optimized Harvest Scheduling
Stang,Mariana Bussolo
geographic information system
tactical planning
linear programming
title_short Spatial Forest Planning for Optimized Harvest Scheduling
title_full Spatial Forest Planning for Optimized Harvest Scheduling
title_fullStr Spatial Forest Planning for Optimized Harvest Scheduling
title_full_unstemmed Spatial Forest Planning for Optimized Harvest Scheduling
title_sort Spatial Forest Planning for Optimized Harvest Scheduling
author Stang,Mariana Bussolo
author_facet Stang,Mariana Bussolo
Arce,Julio Eduardo
Machado,Sebastião do Amaral
Belavenutti,Pedro Henrique
Fiorentin,Luan Demarco
author_role author
author2 Arce,Julio Eduardo
Machado,Sebastião do Amaral
Belavenutti,Pedro Henrique
Fiorentin,Luan Demarco
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Stang,Mariana Bussolo
Arce,Julio Eduardo
Machado,Sebastião do Amaral
Belavenutti,Pedro Henrique
Fiorentin,Luan Demarco
dc.subject.por.fl_str_mv geographic information system
tactical planning
linear programming
topic geographic information system
tactical planning
linear programming
description ABSTRACT The aim of this study was to develop a mathematical model for the spatial forest planning of harvest activity scheduling. Thirty-eight (38) blocks were formed from stands aged 13 to 17 years considering a total area limit set to 350 hectares. The model was built in Excel ® spreadsheet and solved by CPLEX® optimization software using the Branch and bound method for the linear programming of problems with integer variables. The results of optimization are presented in the form of a map of spatial distribution of the selected blocks. The total harvested area was 5,989 hectares and the volume generated was 2,956,913 m3 in a planning horizon of five years. Higher results compared with those of traditional planning and efficiency to optimize forest harvesting proved to be a viable alternative to the inclusion of space and operational issues associated with forest harvesting.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100132
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100132
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.010016
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 Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.26 n.1 2019
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
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