DEVELOPMENT OF PC-BASED INTEGRATED SCHEDULING SYSTEM WITH DEMAND FORECASTING FOR PVC PLANT

Abstract 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 is also automated additionally. A scheduling system based on the mathematical model and the efficient optimization approach has been proposed. The mathematical model has been proposed for scheduling of the entire process of a PVC (Poly Vinyl Chloride) plant, including production, inventory, packing and shipment. Additionally, a more efficient optimization approach has been proposed. For validation purposes, a real PVC process was tested. The optimization result shows that the proposed mathematical model and optimization approach resulted in an increase of at least 4.5% in profits, obtaining good results in a reasonable amount of time; approximately 5 minutes by a 3.0 GHz PC.