Spatial Forest Planning for Optimized Harvest Scheduling

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...

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Main Authors: Mariana Bussolo Stang, Julio Eduardo Arce, Sebastião do Amaral Machado, Pedro Henrique Belavenutti, Luan Demarco Fiorentin
Format: Article
Language:English
Published: Universidade Federal Rural do Rio de Janeiro 2019-02-01
Series:Floresta e Ambiente
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100132&lng=en&tlng=en
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author Mariana Bussolo Stang
Julio Eduardo Arce
Sebastião do Amaral Machado
Pedro Henrique Belavenutti
Luan Demarco Fiorentin
author_facet Mariana Bussolo Stang
Julio Eduardo Arce
Sebastião do Amaral Machado
Pedro Henrique Belavenutti
Luan Demarco Fiorentin
author_sort Mariana Bussolo Stang
collection DOAJ
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.
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spelling doaj.art-c96565ea6a60496198db2154513452172022-12-21T19:10:15ZengUniversidade Federal Rural do Rio de JaneiroFloresta e Ambiente2179-80872019-02-0126110.1590/2179-8087.010016S2179-80872019000100132Spatial Forest Planning for Optimized Harvest SchedulingMariana Bussolo StangJulio Eduardo ArceSebastião do Amaral MachadoPedro Henrique BelavenuttiLuan Demarco FiorentinABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100132&lng=en&tlng=engeographic information systemtactical planninglinear programming
spellingShingle Mariana Bussolo Stang
Julio Eduardo Arce
Sebastião do Amaral Machado
Pedro Henrique Belavenutti
Luan Demarco Fiorentin
Spatial Forest Planning for Optimized Harvest Scheduling
Floresta e Ambiente
geographic information system
tactical planning
linear programming
title 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_short Spatial Forest Planning for Optimized Harvest Scheduling
title_sort spatial forest planning for optimized harvest scheduling
topic geographic information system
tactical planning
linear programming
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100132&lng=en&tlng=en
work_keys_str_mv AT marianabussolostang spatialforestplanningforoptimizedharvestscheduling
AT julioeduardoarce spatialforestplanningforoptimizedharvestscheduling
AT sebastiaodoamaralmachado spatialforestplanningforoptimizedharvestscheduling
AT pedrohenriquebelavenutti spatialforestplanningforoptimizedharvestscheduling
AT luandemarcofiorentin spatialforestplanningforoptimizedharvestscheduling