Uso da programação linear como suporte de decisão para regimes de manejo de Teca (Tectona grandis L. f.)

Abstract

This work aimed to use the adjusted coefficients and models of Floresteca worked by the statistical group of UTFPR. Applying linear programming to evaluate the ideal regime, results in a higher productive return of Teak. From the version of the models and quotations of the company and compiled of the produced data of return, since the variation of the number of files and spacing culminated in different scenarios. The models used in the work are proposed by Piennar; Curtis, Schumacher and Hall, Bailey and Clutter. Despite the construction and application of the models used, the coefficients for the objective function are negative, it is justified that the data are from pebbles. Concluding that despite the construction, the results are not reflected for a better spacing that results in higher productive return, it is justified, that the productive return will always be the lowest number of thinning and the minimum area per plant since The coefficients of the objective function is negative and each increase or decrease of the predictor variables always results in the minimum of destruction and area per plant.