Title
Multivariate Process Capability Assessment for Nonnormal Quality Data: Process Capability Assessment for Univariate and Multiva,Used
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Determination of the performance capability of a stable process using the standard process capability indices such as and requires that the underlying data follow a normal distribution. However it is an undisputed fact that real processes very often produce nonnormal quality characteristics data and also these quality characteristics are very often correlated with each other. For such nonnormal and correlated multivariate quality characteristics, application of standard capability measures using conventional methods can lead to erroneous results. This research study presents several capability assessment methods to estimate more precisely and accurately process performances based on univariate as well as multivariate quality characteristics. The proposed capability assessment methods also take into account the correlation, variance and covariance as well as nonnormality issues of the quality characteristics data.
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