Control charts play a very important role in Statistical Process Control. Run sum S control chart is sensitive in detecting small to moderate shifts. It is an excellent alternative to Shewhart control chart. The performance of the run sum S control chart based on median run length (MRL) performance is proposed in this study. The Statistical Analysis System (SAS) program was used to calculate the in-control ARL and in-control MRL for the nine run sum S chart schemes with different sample sizes, magnitude of shift in the process standard deviation, and the in-control run lengths. The findings show that the MRL measure provides better explanation than the ARL criterion. Moreover, the MRL performance of the run sum S chart schemes is substantially affected by the sample sizes, magnitude of shift in the process standard deviation, and the in-control run lengths.
|Number of pages||6|
|Journal||International Journal of Mechanical Engineering and Robotics Research|
|Publication status||Published - Nov 2019|
ASJC Scopus subject areas
Gao , H., Khoo, M. B. C., Teh, S. Y., & Teoh, W. L. (2019). A study on the median run length performance of the run sum S control chart. International Journal of Mechanical Engineering and Robotics Research, 8(6), 885-890. https://doi.org/10.18178/ijmerr.8.6.885-890