Journal of Quality Engineering and Management

Abstract In usual quality control methods, the quality of a process or product is evaluated by monitoring one or more quality characteristics using the corresponding distribution of one or more variables. Recently, in many cases, quality is defined through the relationship called profile between one or more response and independent variables as a supplanting way. In order to monitor linear profiles in this study, the EWMAR control chart and its normal distribution are used to detect various changes in the intercept, slope and standard deviation. To improve the performance of the chart, run rules are used here. Then, in order to validate the proposed control chart, its performance is examined based on the average length of the sequence (ARL) criteria in the out-of-control for increasing changes, decreasing changes and simultaneous changes in intercept and slope and standard deviation. The results show that the proposed method has a much better performance in incremental and decreasing shifts than other charts. Also, the proposed scheme performs better than other run rules.