The Optimization Method For Supply Chain Design And Application Considering Risk Control

Because the influence of the heavy competition in the world and the uncertainty of demand, after the supply chain management was put forward, it was obtained broad attention in little time. For improving the performance of the supply chain management of an enterprise, the enterprise not only must have an efficient operation mechanism, but also it should have an efficient, tidy, robust configuration of the supply chain.This dissertation mainly studied the design a robust configuration of the supply chain, which could control the risk induced by the uncertain demand. In order to predigest the problem, it was divided into two parts to be research, as the upriver supplier selection problem and the downriver supply chain design problem.At first the dissertation summarized the related theories and methods of supply chain design, and pointed out the basic principles of the supply chain design, and the status quo of the research in the supplier selection, risk control problem in supply chain, supply chain design, then pointed out the limit of the current research based on it, and established the basis of the further research.This paper introduced the supply chain risk problem detailedly, the define and characteristic of the supply chain was analysed, mainly discussed the influence factors of the risk, then studied the form mechanism of the risk, and pointed out the uncertainty of demand is the essential factor of the supply chain risk.Based on the above presentation, the supplier selection problem was studied under the consideration of equilibrium in risk and cost. The main principles and material steps for supplier selection was proposed, and divided the selection problem into two sub-problems, at first under the evaluation index system, the all potential supplier was evaluated and sorted using the improved fuzzy synthetically evaluation method, then under the consideration of risk and cost control, based on the risk probability analysis, the optimal number of suppliers was obtained. Joint the results of the two phases, so we can select the optimal suppliers.The optimal supply chain design model which considering the risk pooling under the condition of uncertainty of demand was proposed in the paper. We considered the stochastic demand and the demand formed the normal school, selected the economic quantity order method as the stock replenishment strategy. Under the restriction of given service level, the construction of the supply chain and stock decision of the enterprise were optimized, and in which the stock cost, facility cost, operation cost etc were considered. The optimal mathematical model was proposed to optimize the construction of the supply chain and stock decision simultaneously, and the optimization object is the cost be minimize.The heuristic algorithm for the large-scale risk-pooling supply chain design problem was proposed after the model was developed. Because the large-scale supply chain design problem is a NP-hard problem, so we used the meta- heuristic algorithm as simulated annealing algorithm to solve it. The basic theory of the simulated annealing algorithm was detailed discuss, and the limit of algorithm was pointed out. The improvement was implemented on the algorithm, then the improved algorithm was used to solve the, and the result proved the validity of the algorithm, some rules of the influence factors was discovered in the computational analysis.At the end of this paper, the theories and methods obtained in this dissertation were used to rebuild the supply chain system of Guilin SanJin Pharmaceutical CO., LTD. Then the validity and rationality of these theories and methods was proved again.