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 s...

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Published inFloresta e ambiente Vol. 26; no. 1
Main Authors Stang, Mariana Bussolo, Arce, Julio Eduardo, Machado, Sebastião do Amaral, Belavenutti, Pedro Henrique, Fiorentin, Luan Demarco
Format Journal Article
LanguageEnglish
Portuguese
Published Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro 01.01.2019
Universidade Federal Rural do Rio de Janeiro
Subjects
geographic information system
linear programming
PLANT SCIENCES
tactical planning
geographic information system
linear programming
tactical planning
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Abstract 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.
AbstractList 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.
Author Machado, Sebastião do Amaral
Belavenutti, Pedro Henrique
Stang, Mariana Bussolo
Arce, Julio Eduardo
Fiorentin, Luan Demarco
AuthorAffiliation Universidade Federal do Paraná
Universidad Politécnica de Madrid
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  givenname: Mariana Bussolo
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10.1590/01047760201420041183
10.1287/opre.51.4.613.16107
10.14214/sf.457
10.1139/x00-205
10.1016/j.dam.2005.05.025
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Issue 1
Keywords geographic information system
linear programming
tactical planning
Language English
Portuguese
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Snippet 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...
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SubjectTerms geographic information system
linear programming
PLANT SCIENCES
tactical planning
Title Spatial Forest Planning for Optimized Harvest Scheduling
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