AGGREGATE PRODUCTION PLANNING, CASE STUDY IN A SMALL-SIZED COMPANY IN THAILAND

The objective of this research is minimizing cost of production by using aggregate production planning (APP) and material flow cost accounting analysis technique (MFCA). The production process was divided into 12 processes from metal melting process to packing process. The data during past 24 months was used in five forecasting methods. The best forecasting method was the model with the smallest value of Mean Absolute Percent Error (MAPE). The result showed that quadratic trend method was the best method due to its lowest MAPE of 7.02 which was further applied this value for APP to minimize cost. We found the