Research on Material Demand Forecasting and Procurement Decision Model Based on Big Data
This paper first analyzes the current situation and challenges of material demand forecasting;Then,an optimization and validation method for a material demand prediction model based on big data is proposed,including model framework selection,optimization,and performance evaluation;Subsequently,an optimized material procurement decision model based on prediction results is constructed,and its effectiveness is verified through simulation experiments;Finally,protective measures are proposed,including digital environment protection,professional model architecture talent protection,and institutional protection,to ensure the effective implementation of material demand forecasting and procurement decision model.
big datamaterial demand forecastingprocurement decision model
万方数据
维普
