Logistics Demand Forecast Based on Gray System Theory

This essay aims to make a prediction of the GDP of Baoshan City in the following five years by employing the GM (1, 1) models which is established on the basis of Gray system theory. The prediction shows that gray equation dimension grey number successively supplement (EDGNSS) GM (1, 1) forecast model can be a very good simulation of the interflow of the goods and materials in the macroscopic logistics system, making its role of being a white information time data to the fullest and reducing the gray space between the prediction value. The gray parameters and the models will be revised as the prediction step forward a single step and finally the prediction value will come into being in this dynamic process. This model is of high precision and requires few statistics. It proves to be a very method for macroscopic logistic system.