The Quality Cost Optimization Of The Supply Chain Research Based On RBF-GA

Quality management is a key point of the modern enterprise production and operation. With the increasing competition of the market economy environment. contend of supply chain has already replaced the competition of the enterprises. Under the background of supply chain quality management, cost advantage is an important means to win the competition of the supply chain enterprise. This paper research the quality cost in the environment of supply chain, to make full use of the supply chain integration advantage, and make up for the lack of the traditional quality management in the enterprise interaction and cooperation. By discussing the quality cost optimization of the supply chain, the thesis provides a new way of high quality products in the pursuit of low cost, and relates theory reference for the quality cost optimization practice in supply chain management.Quality cost optimization of the supply chain, includes the quality cost optimization of the enterprise interior and exterior, the paper will discuss the quality cost optimization between the enterprises basing on every enterprise with good quality cost optimization. For this, the paper Introduces supplier quality cost to define and solve the problem of two stage of supply chain quality cost optimization. Supplier quality cost optimization can be expounded by three parts:related definition, course accounting and process optimization.In the definition of the supplier quality cost components, the paper determine the quality level of customer satisfaction, and introduce influence coefficient of the downstream enterprise quality cost considering the quality of supply chain risk transitivity and feedback characteristics. Then on the basis of two variables of the quality level and quality cost influence coefficient of the downstream enterprises, the paper establish supplier quality cost table of accounting subject, and obtain the optimization data of quality cost by supplier quality cost table of accounting subject. In order to learn more about the function relation among the quality level, quality cost influence coefficient of downstream enterprise and the total quality cost, we use RBF neural network to approximate the relationship. First, collect the data of supplier quality cost table of accounting subject as the training data of RBF neural network, then use the sample data to test the error of network at the satisfaction the accuracy requirement in fitting network. Genetic algorithm is good at dealing with the optimization problem of complex nonlinear systems which is difficult to solve by traditional calculation method. In the function of quality cost based on the fitting RBF neural network, set the absolute differ value of target optimization of quality cost value and the predicted output value of RBF neural network be equal to the individual fitness function of genetic algorithm, we can get the best quality level when meeting the values of target quality cost, and get quality cost influence coefficient of downstream enterprise after genetic operation.After a lot of simulation experiments, the non-linear system optimization method proposed in this paper can get the approximate optimal solution in faster convergence speed. It is feasible to find the optimization method of supply chain quality cost by RBF-GA. At last, the paper confirms the effectiveness of optimization model of supply chain quality cost based on RBF-GA through an empirical analysis. and sum up that supply chain enterprises can control quality cost effect by adjusting the quality level and influence coefficient of downstream enterprises. It also provides the certain basis for the enterprise doing the Supply chain quality cost course accounting.