The Prediction Research of Safety Stock Based on the Combinatorial Forecasting Model
Weiping Zhong, Lili Zhang · Advances in computer science research · 2015
The inventory is related to enterprise's production, sales and cash flow.Therefore, enterprises pay more and more attention to safety stock control.In this paper, on the basis of support vector machine (SVM) model and RBF neural network model, genetic algorithm (GA) combined forecasting model is established for enterprise safety stock prediction research.The example analysis results show that the predicted results of combined forecasting model is accurate, and it's a scientific, reasonable and effective method for safety stock predictive control.