Research on Furniture Order Demand Forecasting Method Based on the SARMIA-BP Combination Model
Accurate prediction of custom furniture production demand is helpful for enterprises to make effective decisions,including making production plans in advance and planning production resources to rationally allocate existing production resources and reserve resources reasonably according to the forecast results.This study focuses on analyzing the order demand for furniture products at Company A.We examine the influencing factors of this demand and establish a demand prediction model using a combined algorithm of SARIMA and BP neural network prediction models.The model's effectiveness is verified using actual data,demonstrating its practical value for accurately forecasting order demand in enterprises.
Furniture order demand forecastBP neural networkSARIMA modelDemand forecasting model
万方数据
维普
