Research On The Decision Support Technology For Logistics Distribution Center

Recently, with quick development of computer and information technology, many kinds of Management Information Systems (MIS) have been appeared in logistics. But most of them are developed to do specific tasks, which cannot satisfy the advanced needs of managers for lacking of decision support. Therefore, it is time to research Decision Support Technology and Decision Support System. This paper places great emphasis on the study of two important problems in Logistics Distribution Center—distribution center location and logistics cost prediction. Based on the researches of Decision Support Technology, this paper gives a whole design of DCDSS (Distribution Center Decision Support System) for SUGUO Supple Market Co.For distribution center location problem, this paper discusses it from two aspects—cost sides and non-cost sides. To cost sides, Spatial Decision Technology has been used to calculate the corresponding cost; To non-cost sides, AHP (Analytic Hierarchy Process) Group Decision Technology has been used to give specific analysis. Combining these two methods, this paper give a synthetic model to solve the distribution center location problem.For logistics cost prediction problem, many methods have been put into research, such as BP neural network prediction method and grey prediction method. But grey prediction method has theoretical defect and BP neural network has some defects, it is slowly convergent and liable to plunge into error function's local extreme point, etc. Therefore, we introduce GA(Genetic Algorithm) and combine these three methods to propose a novel forecasting method named Grey BPGA. Firstly we utilizes the accumulation generation operation of grey prediction to transform the original data, and produces the accumulated data which possess better regularity, making it easier to train BP neural network. Secondly, we introduce GA to synchronously optimize the weight and threshold of BP neural network, combining BP and GA, we give a new model named BPGA which can find best weight and threshold. Last, we combine grey prediction method and BPGA model to propose new prediction method named Grey BPGA. Case study validates the effectiveness of Grey BPGA prediction method.Based on the researches above, this paper gives a whole design of DCDSS, which uses computer technology to help decision making, such as distribution center location and logistics cost prediction etc.