Application of a Combination Forecasting Model in Logistics Parks´ Demand

Logistics parks´ demand is an important basis of establishing the development policy of logistics industry and logistics infrastructure for planning. In order to improve the forecast accuracy of logistics parks´ demand, a combination forecasting model is proposed in this paper. Firstly, we use grey forecast model and exponential smoothing method to predict the demand respectively, then we combine the two results by using simulated annealing algorithm (SSA) to select appropriate weight. Experimental results show that the combination forecast model obtain lower total absolute error and average absolute error.