Study on the Forecasting of Production Trends Based on Multiple Linear Regression

The aim of this study is to support the optimization of material management and production planning in an enterprise through effective forecasting of production trends based on multiple linear regression (MLR) models. Firstly, a weekly material forecasting model is constructed for material usage, and the balance between material inventory cost and service level is considered to adjust the production plan. Secondly, this paper constructs a prediction model based on multiple linear regression using nearly ten weeks of historical data to predict the changes in demand for production and inventory and other indicators for future weeks. By quantitatively analyzing multiple factors affecting production trends, regression analysis is used to determine the relationship between the variables. In this paper, production planning is optimized to maximize service levels while reducing the cost of stock-outs and inventory to achieve flexible production schedule adjustments. The results of this study provide theoretical support for enterprise production forecasting and decision- making in an uncertain environment and provide an effective tool for production plan optimization in practical applications.