The Use of Time Series to Predict Defective Percentages is an Applied Study in The Ishtar Fireplace Laboratory

The identification and forecasting of defective items was and still one of the most important topics that are because of their contribution in terms of product cost reduction, besides, to increase the quality and the efficiency of the product. The correlation of time series with the subject of determining the defective ratios of the product can contribute to improve the forecasting accuracy ratios and thus control the product and reduce its production costs.To achieve this, the research compares some methods of estimating the defect ratios using time series with the practical application of the product named Ishtar fireplace. The results showed an ability of the approaches to estimate the defect ratios of the product and control. Other prediction methods can be used such that regression analysis to compare.