Reliability and sensitivity comparisons and average run lengths of CUSUM scale chart

Abstract

ABSTRACTThe cumulative sum (CUSUM) control chart is considered one of the best methods used to detect process shifts. It has been observed that there are certain studies which focused on the analysis and description of the distribution of run-length of CUSUM charts under shifts in process variance. Keeping this in view, an efficient and accurate algorithm based on the distribution of run length of CUSUM chart for examining the variance changes of normal process is developed in this research. Since one of the measures for evaluating the performance of control chart is average run length (ARL), therefore it is considered for comparing the reliability and sensitivity of CUSUM scale chart. Simulation studies have been carried out to generate the data through which both in-control and out-of-control ARLs are calculated by varying sample size, decision limits and reference values. The efficiency of the proposed control chart is shown in terms of ARLs. A numerical example is given to illustrate the practical application of the proposed scheme.