FORECASTING FOR INVENTORY CONTROL
研究了一家弹簧床制造商如何选择最佳预测方法（线性回归等六种）来规划产量，并用经济订货量计算原材料订购量，用决策树优化配送路线。
The company in this case is a manufacturer of spring beds. This research aims at determining the best method to forecast the company’ s production level, as well as finding out the economically efficient amount of raw materials for the company to order , and the best delivery routes for its products, especially spring bed type 101. Six forecasting methods are used: Linear Regression, Moving Average, Weighted Moving Average, Exponential Smoothing, Exponential Smoothing with Trend and Naive method. Economic Order Quantity (EOQ) is used to calculate raw materials inventory, and a Decision Tree to determine goods delivery processes. The research results suggest that the company use Linear Regression as it has the smallest MAD and MSE of the six methods. The company also has to order an economical amount of raw materials and choose shipping as a means of distributing its products to the location specified in this study.