Abstract
Purpose: The problem for the traditional control chart is that it is unable to monitor the very small fraction of nonconforming and the underlying distribution is the normal distribution. control chart is useful where it controls the vert small fraction on nonconforming. In this study, we will design the control chart in order to use under non-normal process. Methods: is calculated not by failure rate based on attribute data but using variable data. Control limit for non-normal control chart is designed based on -risk calculated by cumulative distribution function of Burr distribution. -risk, which is for performance evaluation, obtains in the Burr distribution's cumulative distribution function and control limit. Results: The control limit for non-normal control chart is designed based on Burr distribution. The sensi- tivity can be checked through ARL table and OC curve. Conclusion: Non-normal control chart is able to control not only the very small fraction of nonconforming, but it is also useful when distribution is non-normal distribution.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of the Korean society for quality management
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.
