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Research on Management of Scientific Decision-making in Tropical Forestry Experiment Center

Author: SunWenSheng
Tutor: ZhangGui
School: Central South University of Forestry Science and Technology
Course: Forest Management
Keywords: Experimental Center of Tropical Forestry Operation and management Scientific decision-making Systems Science Sustainable development
CLC: F326.2
Type: Master's thesis
Year: 2007
Downloads: 13
Quote: 0
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Abstract


Forestry has a long operating cycle, the natural and social impact, and economic development of forestry in China and even the whole country has a very important significance to the development of forestry enterprise as the main management of the forest resources. Any forestry enterprises making the wrong decisions that may affect the development of its many years or even decades, scientific decision-making is particularly important in the forestry business. Chinese Academy of Tropical Forestry Experiment Center is a collection of scientific research, production and operation of industrial development as one of the national forestry base in the trial, based on forest cultivation based on the state-owned forestry units. Hot forest center how to change the traditional business philosophy in a market economy environment, the implementation of the operation and management of scientific decision-making, the development of scientific strategic business objectives, and strive to build the three systems in achieving sustainable development in the new era of modern forestry construction process to forest cultivate the basis of the state-owned forestry enterprise development has a good guide. Topics hot forest center for the study, the use of systems engineering methods to develop a business strategy as the core, and conducted a preliminary study on how to achieve the scientific decision-making in the operation and management of forestry enterprises. Hot forest center and external environment analysis in the study, as a precondition, system diagnostics and analysis, as a pilot to develop business strategies; in order to achieve strategic business objectives, under the guidance of the strategic decision-making, to make a series of specific decisions, such as forest land use decision-making, timber production decisions, a diversified industrial decision-making, to provide a more scientific management approach for forestry enterprises, in order to reap the modern forestry enterprise ecological, economic and social benefits play, to achieve sustainable forestry enterprises operations. The root cause of the study, the following conclusions: (1) hot forest center and external environment analysis, the use of system diagnostic model, hot forest center system diagnostics, comprehensive benefits of the center is not high enough, the development of slow There are internal and external factors. Internal factors that lead ideas to be further updated, and the level of decision-making needs to be improved, the guiding ideology need to further clarify the business strategy is yet to be perfected. External factors are mainly the relationship between ownership and fuzzy, witch hunt, tax overweight. (2) on the basis of the analysis of heat Lin traditional management, business decision analysis. With reality, and to develop medium-and long-term strategic objectives of the center of the heat Lin, and continuously improve the ecological, social and economic benefits, and strive to GDP in 2020 exceeded 300 billion. To achieve the strategic objectives proposed the one hand, we must seize the strategic focus to strengthen the cultivation of forest resources and adjust the industrial structure; must develop a reasonable strategy countermeasures that strengthen enterprise management, strengthen human resources development, focusing on the development of application technology and the introduction of , to strengthen lateral economic and technological joint establishment of enterprise groups, the introduction of private capital. (3) Segment operating as a guide, heat Lin Center tree species, tree species planning, to determine timber, the main species. Species planning in addition to retain the traditional pine, cedar species should be planned according to the market demand for a certain area of ??valuable timber species of fast growing tree species. After repeated analysis and demonstration, come to the center of excellent precious broadleaf species, generally broad-leaved species, conifer species area ratio of 3:1:6. (4) the use of a linear programming model to determine the center of the hot forest timber logging quota. Come in the next 10 years, mainly of fir and pine harvesting objects, annual lumber production should be controlled in less than 60,000 m3 fir cutting control in less than 10 000 m3, pine harvest volume control in less than 50 000 m3. (5) the use of the analytic hierarchy model, to develop a variety of business industry decision-making. In addition to timber production; should further expand the depth and breadth of local resource processing industry; focused on doing a good job of plywood production line, rosin deep processing the the longan and octagonal deep processing and development of rare earth; while Songhua flour mill, pine needle powder factory, panel furniture the feasibility study of the project; development of the tertiary industry and the field of resource processing industry; concentrate superior development of urban green seedlings, the development of farming, aquaculture. This article aims to modern business concepts instead of the traditional concept of management, instead of the traditional decision-making scientific decisions on the hot forest center operation and management of scientific decision-making were discussed, and there is still a lot of work to do. Hot forest center is not only a modern forestry enterprise, also bear the tropical and subtropical fast-growing precious species introduction and cultivation experimental tasks and other major national research tasks, the paper rarely consider the nature of the center's research.

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CLC: > Economic > Agricultural economy > China 's agricultural economy > Agricultural sector economy > Forestry
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