earticle

영어

In this study, optimal forecasting method was developed to manage inventory efficiently in stainless service center, and thereby the service and safety stock levels can be set based on demands. Since raw materials are very expensive and demands of them are fluctuated seasonally, demand forecasting is greatly important to ensure the availability of an adequate supply. First, the research subjects were defined based on ABC analysis in this study. Second, moving average, weighted moving average, exponential smoothing, Winter’s method and least squares method were performed to evaluate accuracy of five models. As a result, Winter’s method and least squares method were superior to the other methods. Third, new safety stock and service levels can be established based on the forecasting results.