Spatial Forest Planning for Optimized Harvest Scheduling
Autor: | Mariana Bussolo Stang, Julio Eduardo Arce, Luan Demarco Fiorentin, Pedro Belavenutti, Sebastião do Amaral Machado |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Forest planning
Mathematical optimization Geographic information system Linear programming business.industry tactical planning Scheduling (production processes) Forestry Time horizon linear programming Software lcsh:SD1-669.5 geographic information system Limit set lcsh:Forestry business Hectare Mathematics |
Zdroj: | Floresta e Ambiente, Vol 26, Iss 1 (2019) Floresta e Ambiente, Volume: 26, Issue: 1, Article number: e20160100, Published: 07 FEB 2019 Floresta e Ambiente v.26 n.1 2019 Floresta e Ambiente Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
ISSN: | 2179-8087 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |