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Optimización del trozado de fustes en el nivel de unidad de manejo forestal

Abstract
In planning forest harvests the bucking optimization problem arises at tree-level as well as stand and forest management unit-level. In a former project, Dynamic Programming has been coded in spreadsheets for obtaining optimal buching patterns at tree-level for major species in NE Argentina. At the stand and forest-level the problem has been formulated as a linear programming, master problem, and using a longest path algorithm for sub-problem, bucking [ver mas...]
In planning forest harvests the bucking optimization problem arises at tree-level as well as stand and forest management unit-level. In a former project, Dynamic Programming has been coded in spreadsheets for obtaining optimal buching patterns at tree-level for major species in NE Argentina. At the stand and forest-level the problem has been formulated as a linear programming, master problem, and using a longest path algorithm for sub-problem, bucking pattern generation. GLPK and Java were used for coding OptimEsus, a software tool aimed at solving problems at these levels. A three stand problem was solved as a prototypical example. [Cerrar]
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Author
Yapura, Pablo;   Sañudo, Gastón;   Keller, Aldo Esteban;   Fassola, Hugo Enrique;   Crechi, Ernesto Hector;   Winck, Rosa Ángela;   Barth, Sara Regina;   Caraballo, Horacio;  
Fuente
XVIII Jornadas Técnicas Forestales y Ambientales. Facultad de Ciencias Forestales. El Dorado, Misiones. 17 al 19 de Octubre de 2019.
Date
2019-10-17
Editorial
Facultad de Ciencias Forestales, Universidad Nacional de Misiones.
ISSN
1668-5385 (impreso)
2686-7110 (en línea)
URI
http://hdl.handle.net/20.500.12123/11920
Formato
pdf
Tipo de documento
documento de conferencia
Palabras Claves
Operaciones Forestales; Forestry Operations; Forest Management; Manejo Forestal; Programación Lineal; Linear Programming; Métodos de Optimización; Optimization Methods; Algoritmo de Ruta más Larga; Longest Path Algorithm;
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Excepto donde se diga explicitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
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