Monitoring binary response profiles in multistage processes

Monitoring Binomial regression profiles in Phase II is examined in this study for multistage manufacturing processes where the quality characteristic is binary. In these kinds of processes, the quality of the final product depends on the quality characteristic of the previous stages, which is referred to as the cascade property. The U statistic was used to diminish the effect of this property. Then, four approaches, such as T2 and MEWMA control chart, LRT, and LRT/EWMA method, have been used, and the performance of these methods have been evaluated using simulation and a numerical example by means of ARL. An actual case study was also used to investigate the effectiveness of monitoring methods in further depth. Studies reveal that the proposed schemes perform well.