Stochastic (s, S) Inventory System Simulation and Optimization Based on BP Neural Network

Aiming to solve the problem that the previous stochastic (s, S) inventory method ignored the qualitative factors, which will lead to the calculation of the results unable to reflect the actual reorder points. We use BP neural network to build model that can quantify the qualitative factors, and optimize the program of inventory algorithm through analyzing the conclusions of the inventory system simulation. Finally, an example analysis shows the feasibility of this program.