TY - JFULL AU - S. F. Wong and W. I. Ho and B. Lin and Q. Huang PY - 2014/5/ TI - A New Model for Production Forecasting in ERP T2 - International Journal of Industrial and Manufacturing Engineering SP - 554 EP - 560 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9997908 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 88, 2014 N2 - ERP has been used in many enterprises for management, the accuracy of the production forecasting module is vital to the decision making of the enterprise, and the profit is affected directly. Therefore, enhancing the accuracy of the production forecasting module can also increase the efficiency and profitability. To deal with a lot of data, a suitable, reliable and accurate statistics model is necessary. LSSVM and Grey System are two main models to be studied in this paper, and a case study is used to demonstrate how the combination model is effective to the result of forecasting. ER -