In this study, an integrated scheduling system with
demand forecasting has been developed. The
SARIMA (seasonal autoregressive integrated moving
average) model is automated to forecast the demand.
In order to reduce the cost and instability of
production scheduling, a safety inventory
determination model is automated additionally.
Because most existing forecasting packages require
user’s knowledge about forecasting, it has been very
difficult for plant engineers to apply forecasting
packages to scheduling. So the developed automatic
forecasting system can help the operators to schedule