Abstract
Univariate capability indices have been investigated extensively with or without considering the measurement errors, but for multivariate case, the study of process capability in the presence of measurement errors for quality characteristics are comparatively neglected. Since the correctness of data relies very much on the gauge measurement accuracy, therefore evaluating the capability indices by ignoring the measurement errors would not be reliable. In this paper, we consider the multivariate process capability index (MCp) by adding the measurement error as a source of variation in the data and study the statistical properties of obtained capability index. Implementing the results on a real example, show that the gauge measurement capability has a noticeable effect on the estimating and testing results of the process capability.
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 callDisclaimer: 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.
