In the production of multi variety and small batch materials,enterprises generally cannot know the actual demand of materials in advance,and accurate prediction of material demand is of great significance for improving the production efficiency of enterprises.Firstly,the paper establishes a material importance factor model based on demand frequency,demand quantity,demand trend and sales unit price to screen the materials that enterprises need to focus on from the importance of materials;Then the stochastic forest regression model and feedforward neural network model based on demand frequency,demand trend and unit price are introduced to predict the demand of materials,and the model is evaluated by means of indicators such as mean square error.The experimental results show that the prediction model can provide a reference solution for small batch material demand of enterprises.
关键词
小批量物料/随机森林/神经网络/模型
Key words
small batch materials/random forest/neural network/model
维普
万方数据