Research On The Problem Of Distribution And Configuration In Supply Chain Under Uncertain Demand

In today's world, supply chain management (SCM) has been the important management mode for modern enterprises with the integration of world economy, individual firms no longer compete as independent entities, but rather as integral parts of supply chain linkage. A good supply chain with competition force not only could provide best service and make products into markets with most reasonable cost, but also have the capability to coordinate other members in supply chain. In supply chain, distribution and configuration system are two linkages of very important, which are not only the sign to measure the level of supply chain management and are the most key factors to determine the competition capability of supply chain. However, in today's environment of supply chain management, which the uncertain factors are increasing, the inferior position of traditional distribution and configuration system is increasingly in evidence, especially on the conflicts of efficiency, cost and controllability. Thus, the study for the problem of distribution and configuration in the supply chain under uncertain demand will undoubtedly be important for theoretical study and practical applicationIn this paper, on the base of analyzing the distribution and configuration system with the theory of system science and the synergetic theory, we found the model for analyzing the one-echelon distribution network, the two-echelon distribution network and all together the vendor selection and inventory optimization of single enterprise and the supply chain, the main work are as follows:Firstly, we analyzed the distribution and configuration system in the supply chain with the system theory and depict the diagram after analyzing the system goals, the system structure, environmental factors and the system's input and output. All together we analyze the cooperativity of the distribution and configuration system of supply chain, the future of order parameter and the relationship of self-organization and"organized"with the synergetic theory. Secondly, on the basis of analysis of the characteristics of the one-echelon distribution network of supply chain , we founded the model for the one-echelon distribution network of supply chain with a manufacturer to a retail and a manufacturer to many retails, found the corresponding solving method for it and draw the conclusions of decision-making optimization.Thirdly, we proposed an optimization bi-level programming model of two-echelon distribution network with a supplier, multi-distribution-centers and multi-shops based on analyzing a distribution model with a supplier, a distribution center and multi-shops under the condition of centralized control and uncertainty demand and capacity of distribution center, solves the model with intelligent optimization algorithm and compute with an example.Fourthly, we proposed an optimization model of the vendor selection of single enterprise based on the interval AHP and a single enterprise inventory optimization decision-making model based on that the demand is subordinated to the normal distribution and the product are made of many parts, and simulated for the first model with an example.Fifthly, we proposed a fuzzy chance-constrained programming model for the problem of the vendor selection and inventory optimization based on that the demand and lead time are fuzzy numbers under analyzing the problem of the vendor and inventory optimization with system theory. The solution based on genetic algorithms was proposed and an example was simulated after analyzing the solution of the model.In the end, this dissertation is summarized and further research directions are shown.