Abstract
The most popular tool used in the industry for monitoring the process mean is the Shewhart control chart. The major disadvantage of the Shewhart control chart is that it is not very efficient in detecting the small changes in the process mean. In order to make the Shewhart chart more efficient to detect the small changes in the process mean additional interpretation rules has been suggested. In this paper, the average run length (ARL) performance of most used seven interpretation rules were obtained by developing a spread sheet for normal and gamma distributions. The results show that the in-control average run length performance (when process is in control) be fairly high for particular rules when underlying data from a gamma distribution rather than normal distribution. It was also observed that the out-of- control average run length performance (when process is out of control) vary greatly from normal to gamma distributions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.