Gláucio Marcelino Marques

Estudo comparativo envolvendo três métodos de cálculo de custo operacional do caminhão bitrem

The present work deals with the comparative study of three methodologies used for calculating the operational cost of forest transport vehicles such as: FAO - North America; FAO/ECE/KWF e Battistella /Scânia. For this the, Bitrem truck was considered as it is one of the most used for forest load transport in Brazil. The two first methods had the operational cost calculated per effective hour of work (eh), and the latter had the cost calculated per kilometer (km). Thus, for this method, a factor to convert kilometer cost to cost per effective hours of work (eh) was used. The operational cost, for FAO - North America and FAO/ECE/KWF, was obtained by the sum of the following costs: machine (fixed and variable costs); administrative (administration cost) and worker (workmanship hand cost). For the Battistella/Scânia method, the operacional cost was obtained by the sum of machine and administrative costs. The FAO method - North America was the most expressive in terms of operational cost (USS 50,47/he). This method was the most indicated for the case in study, due mainly to the large approximation in relation to the real cost. The machine costs represented more than 85% of the total cost in all methodologies, with the variable cost standing out, due the high fuel cost. The operational costs presented distinct values, probably due to the fact that these methods present different formulas for the same cost.

COMPETITIVIDADE DO BRASIL NO MERCADO INTERNACIONAL DE MADEIRA SERRADA

This study aimed to analyze the competitiveness of Brazilian lumber on the international market in the period 2000 to 2007. The methodological tools used to compare the competitiveness of Brazil with its main competitors were the rates of Relative Position Marketing (PRM) and Revealed Comparative Advantage (VCR). The results point out to the fact that, although Brazil has proved competitive, it is necessary to use marketing strategies aimed at increasing the countrys competitiveness in this sector.

Uso de equações diferenciais para determinação do momento ótimo da transformação de veículos

n The objective of this work was to analyse the economic feasibility of the transformation of forest transport vehicles. Two situations were evaluated; in one the cart was used and removed after its useful lifetime, in the other one the cart is transformed in to truck and, finally, in to a two-wheeled cart. The differential equation was used to define the optimal time of the transformations. The results obtained showed that in the model without transformation an optimal time nine years used was defined, presenting an Equivalent Annual Value of R

Aplicação da programação dinâmica na substituição de equipamentos

4,084.06. In the model with transformation (cart/truck/two-wheeled cart), an Equivalent Annual Value of R

Análise Econômica de Dois Sistemas de Produção de Mudas de Eucalipto

10,555.04 was obtained, indicating the viability of the transformation system. Based on data of costs and incomes used the transformation (cart/truck/two-wheeled cart) showed to be best alternative. It follows that the models developed showed to be suitable in supporting the decision making related to the replacement of transport vehicles.

Productive chain of the furniture industry: furniture industry of Ubá.

The objective of this work was to develop a dynamic programming model to determine the optimal time to replace equipment, including the incomes generated by the use and removal of the machine, aiming at the maximization of profits through a recurrence relation related to the incomes and costs along the years. Thus, the proposed model was compared to the traditional replacement model using the dynamic programming that does not include the income generated by the equipment, used by Filgueiras (1997). The model proposed was satisfactory according to the objective of the work, as its development made it possible to offer optimal decisions to replace or maintain the equipment. The model that includes only the costs showed to be best recommended in situations where the equipment is used without concern of generating annual incomes. On the other hand, the model developed can be used in situations where the equipment generates direct incomes or not. The model developed with the income showed to be efficient, and a greater susceptibility to a raise in the purchase value of the equipment was observed, whereas the model without concern to income is more susceptible to variations of interest rates. The advantage in using the dynamic programming (PD) in this case is that this tool offers a much greater range of alternatives at the moment of the decision making.