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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Bibliographic Details
Published in:Floresta e ambiente 2019-01, Vol.26 (1)
Main Authors: Stang, Mariana Bussolo, Arce, Julio Eduardo, Machado, Sebastião do Amaral, Belavenutti, Pedro Henrique, Fiorentin, Luan Demarco
Format: Article
Language:English
Subjects:
geographic information system
linear programming
PLANT SCIENCES
tactical planning
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Summary: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.
ISSN:1415-0980
2179-8087
2179-8087
DOI:10.1590/2179-8087.010016