Multivariate Process Capability Assessment for Non-Normal Quality Data

ISBN-13: 9783659188886 / Angielski / Miękka / 2012 / 208 str.

Shafiq Ahmad

Opis

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 non-normal quality characteristics data and also these quality characteristics are very often correlated with each other. For such non-normal 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 non-normality issues of the quality characteristics data.

O autorze

Dr. Ahmad has PhD from RMIT University Melbourne Australia in 2009. He has more than two decade s industrial experience in Asia and Europe, and teaching experience in Australia and Saudi Arabia. He is also a certified practitioner in Six Sigma. Dr Ahmad s current research focus is in performance analysis and optimization of processes