A Novel Inventory Level Forecast Model Based on Artificial Neural Network
Tong Li, Shuyun Zhang, Fengshan Xiong · 2008
Zero inventory is the ideal state in the inventory management, especially to the innovative products, it can not only reduce costs but also promote the development of the new products. In order to forecast the enterprise inventory scientifically and accurately, according to the principle of artificial neural network, this paper proposes the BP neural network model for the forecast of the enterprise inventory. The model not only can simulate the expert in forecasting the enterprise inventory, but also avoid the subjective mistakes in the forecasting process. The enterprise inventory forecast about the portable computer of Baoding City in 12 months shows that the results given by this model are reliable, and the method to forecast the enterprise inventory is feasible.