Research On Chain Of Agricultural Performance Evaluation And Optimization

The Introduction of new agricultural products and supermarket chain dock,not only can help reduce the cost of the circulation of agricultural products,stable sales channels,improve the quality of agricultural products and also help to promote the transformation of agricultural development mode,promote the development of agricultural modernization.But the agricultural super docking mode in our country started late,is still in the primary stage of development.Now its still mainly focused on the rationality of the existence of the model,a few of research on the optimization of the model and the operation performance,but its the most intuitive expression of the effect implementation of good or bad.Therefore,the research on the new agricultural product supply chain optimization and performance evaluation has a great help to improve its operation efficiency.In this paper,object of new supply chain model optimization and performance evaluation.Firstly,combine agricultural chain characteristic,provide of its definition,characteristics and key problems.Secondly,synthetically analyze of our country existing agricultural super docking mode,and illustrate the four kinds of agricultural super docking modes and their characteristics and shortcomings.on the basis of respectively with farmers,agricultural cooperatives,supermarkets and the entire supply chain from the perspective of optimization of agricultural super docking of supply chain evaluation model of agricultural product.Then choose "direct purchase" mode as the main research object to carry on the performance evaluation of the new agricultural products supply chain.According to the BSC-SCOR model and combine this model itself characteristic to select the indexes.Then,a brief overview of the BP neural network model is used in this paper,and the model itself establishment,training and solution.Finally,proves agricultural products supply chain performance evaluation is effective.