Research On The Investment And Production Strategy Model Of Eucalyptus Plantation

Because of fast growing, high yield and versatile natures, eucalyptus is one of the plantations with the largest harvesting and the most plantation area in China. There are a large number of eucalyptus plantation bases in Guangdong, Guangxi, Yunnan and Fujian Provinces, China, and they are the important channels to promote local economic development, maintain the ecological environment and enliven the forestry economy. In the past, the research on eucalyptus was more concentrated on breeding, planting, tending and forest managers with less eucalyptus industrial production field. In China, eucalyptus plantation is an extensive development with lower industry technology, management level, productivity and economic efficiency. What’s more, with the increasing of timber requirement gap in domestic and foreign, and all kinds of modern management methods in all walks of life, it is necessary to improve technology and management of the eucalyptus plantation enterprises.We explored the theories of the plantation industry in investment and production and investigated the key issues of the eucalyptus plantations in the industry development of the by optimizing eucalyptus plantation project investment, production planning, harvesting methods and transportation issues. First, because eucalyptus plantation project was with the characteristics of long-term, uncertainty and periodicity, we used option pricing theory to make up the defects that the traditional investment decision-making method with the net cash flow as the core cannot evaluate the uncertainty value of the project, and then adopted the abandonment options, delay options and selection options respectively to evaluate the uncertainty value of the eucalyptus plantation project. The results show that compared to traditional cash-flow theory, the uncertainty value of the eucalyptus plantation project can be fully reflected by the option pricing theory with true and objective project value.We developed the production plan with the forest, wood processing factory and wood depot as the nodes in a certain period by double objective linear programming model. In the model construction, we proposed the plantation harvesting measure index and built the double linear programming model by using the maximum of the average logging measure index of harvesting small class as the upper objective function and the minimum of the system production and transportation costs as the lower objective function. Then, we explored the possibility of the genetic algorithm and tab algorithm in the double linear programming model, and selected the optimally harvesting small class by the segmented genetic algorithm. We maximized the economic benefits of the lower model by application of the taboo-genetic algorithms and illustrated the model construction, algorithm implementation with a case. At last, we calculated the optimization results by computer tools and made a comparative analysis based on the various algorithms.In our study, on the basis of the structure cost we developed three cutting ways including logging by own harvesting machine, leasing harvesting machine and artificial. We studied the use and optimization of three cutting ways in eucalyptus plantation project and selected the model to compute harvesting way in each small classe by constructing a linear programming model.Finally, we studied the optimization of the plantation transport paths and the sitings of the wood depots and the wood processing base, and built optimization models for siting and path. By the iterative algorithm, we used a case to study the feasibility and implementation of the model and algorithm.