Grey Forecast of Logistics Demand Based on Parameter Optimize Model

Logistics demand forecast is very important for development of the logistics industry,,which affects logistical development planning,and the balance between supply and demand of the logistics system.As logistics system is a typical gray system,this paper established metabolic GM(1,1) model groups based on the historical data on freight mileage of Jiangsu province.After comparing the precision of the models with different dimensions,one of the model with higher accuracy is selected to predict freight mileage.The simulation and prediction results show that the model is valuable for logistics demand forecast.