Spatial Forest Planning for Optimized Harvest Scheduling

Ano: 2019 | Volume: 26 | Número: 1

Autores: Mariana Bussolo Stang; Julio Eduardo Arce; Sebastião do Amaral Machado; Pedro Henrique Belavenutti; Luan Demarco Fiorentin

Palavras-chave: geographic information system; tactical planning; linear programming

Resumo Inglês:

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.