The forest investment projects,analyzed through the application of simulation techniques,allow measuring more accurately the benefits or losses,considering the systemic uncertainties related to forest plantation.In th...The forest investment projects,analyzed through the application of simulation techniques,allow measuring more accurately the benefits or losses,considering the systemic uncertainties related to forest plantation.In this perspective,the objective of this study was to identify the relative importance of sources of uncertainties in determining the net present value(NPV)of planting of Ochroma pyramidale on a forested property located in the state of S?o Paulo,Brazil.Thus,it assigns probability distributions to the parameters with uncertainties and applies the Monte Carlo technique to obtain the stochastic behavior of the NPV,of the modified internal rate of return(MIRR)and the profitability index(PI).The probabilistic results of the quantitative methods analyzed allowed us to conclude that for the planting O.pyramidale,with 5-year cutting age,indicated economic profitability.In addition,there is a probability that 84.6%of the project will add economic value to the invested capital.展开更多
Sugarcane crops have undergone several changes with the intensification of agricultural machinery in Brazil in the last years.This occurs,mainly,due to the transfer of the semi-mechanized system to the mechanized one ...Sugarcane crops have undergone several changes with the intensification of agricultural machinery in Brazil in the last years.This occurs,mainly,due to the transfer of the semi-mechanized system to the mechanized one during harvest operations.Thus,studies are needed on the optimization of sugarcane production in relation to mechanized processes,since it is necessary to verify the adaptability of sugarcane varieties to the mechanization of the plantation.This study aimed to develop and apply a mathematical model of optimization to select sugarcane varieties that maximize production and meet the quality standards required by the industry for sugar and fiber contents.The data were collected in a sugarcane mill located in the interior of S?o Paulo state.The result obtained by the optimization process evinced an increase of 16.65%when compared to the productivity of the initial scenario.展开更多
文摘The forest investment projects,analyzed through the application of simulation techniques,allow measuring more accurately the benefits or losses,considering the systemic uncertainties related to forest plantation.In this perspective,the objective of this study was to identify the relative importance of sources of uncertainties in determining the net present value(NPV)of planting of Ochroma pyramidale on a forested property located in the state of S?o Paulo,Brazil.Thus,it assigns probability distributions to the parameters with uncertainties and applies the Monte Carlo technique to obtain the stochastic behavior of the NPV,of the modified internal rate of return(MIRR)and the profitability index(PI).The probabilistic results of the quantitative methods analyzed allowed us to conclude that for the planting O.pyramidale,with 5-year cutting age,indicated economic profitability.In addition,there is a probability that 84.6%of the project will add economic value to the invested capital.
文摘Sugarcane crops have undergone several changes with the intensification of agricultural machinery in Brazil in the last years.This occurs,mainly,due to the transfer of the semi-mechanized system to the mechanized one during harvest operations.Thus,studies are needed on the optimization of sugarcane production in relation to mechanized processes,since it is necessary to verify the adaptability of sugarcane varieties to the mechanization of the plantation.This study aimed to develop and apply a mathematical model of optimization to select sugarcane varieties that maximize production and meet the quality standards required by the industry for sugar and fiber contents.The data were collected in a sugarcane mill located in the interior of S?o Paulo state.The result obtained by the optimization process evinced an increase of 16.65%when compared to the productivity of the initial scenario.
