Research On Inventory Theory-Based Regional Resources Optimization Methods

With the significant increase of population and rapid development of social economy, the demands for various resources are constantly increasing, which directly lead to serious resources and environmental problems. Resources shortage, environmental pollution and ecological imblance become the factors restricting the country’s rapid developing. Recently, a number of scholars focuse on the research of regional resources’optimal allocation and management. The allocation of regional resouces not only has a close relationship with local social-economic development, but also refers to a series of processes, such as supply, production, transportation, sotrage, conversion and consumption, as well as related social policies. Each of these processes has many kinds of complexities and uncertainties. Although there were many uncertainity optimization methods which have been studied and applied to slove the regional resources allocation problems in the past, few of them provided specific resources allocation alternatives in the optimal process, such as the total quantity, batch and period for resources transferring.Based on this, the planning and managemnt of water resources and electric power system in regional resources systems would be studied in this thesis. Since the advantages of inventory theory in solving supply-demand problems and providing specific transferring alternatives for materials, it would be introduced and combined with multiple uncertainty optimization technologies, in order to slove the allocation problems of water resources and energy resources under uncertainty, and meanwhile avoid the risk of resources shortage. In detail, the main research contents are as follows:(1) an inventory-theory-based interval two-stage stochastic programming method and an inventory-theory-based inexact multistage stochastic programming method would be developed by integrating interval mathematical programming, two-stage stochastic programming, multistage stochastic programming and inventory theory, respectively. In addition, they would be applied to solve water resources transferring and allocating problems under different water flow scenatios in water resources management systems;(2) an invertal fuzzy two-stage stochastic inventory programming method would be proposed by combining interval mathematical programming, fuzzy mathematical programming, two-stage stochastic programming and inventory theory. Moreover, the proposed method would be applied to study the agricultural water allocation problems from Yuecheng Reservoir in Zhangweinan River Basin to cities of Anyang and Handan;(3) based on interval mathematical programming and inventory nonlinear programming, an inexact inventory nonlinear programming method would be studied and applied for solving problems of energy resources supply, capicity expansion of different energy conversion technologies, electric demands as well as relative environment in electric power system in City of Wuan.The obtained results implied that the multiple inventory-theory-based uncertainty optimization technologies can not only help decision makers identify various complexities in the study sytem, but also help avoid the risk of resources shortages. In addition, they can provide specific resources transferring and allocating alternatives for decision makers under the condition of realizing system cost minimization or system benefit maximization. Totally, the obtained solutions are helpful for decision makers in determining related policies for future resources planning and management, and thus promote the sustainable development of regional resources.