Title : ( A new multivariate process capability index )
Authors: Zainab Abbasi Ganji , Bahram Sadeghpour Gildeh ,Access to full-text not allowed by authors
Abstract
Multivariate process capability indices are applied to account the capability of the processes which the quality of the products depends on two or more related characteristics. We call a tolerance region asymmetric, when the target value of at least one characteristic is not the mid-point of the tolerance interval. This paper introduces a superstructure index to measure the capability of multivariate normal process in asymmetric tolerance regions, which could be applied for symmetric cases, too. In addition, the effects of two modification factors in the index which weigh the mean departure from target and process variability are investigated. Furthermore, some examples are presented to demonstrate the applicability and effectiveness of the proposed index.
Keywords
Multivariate normal distribution; multivariate process capability index; asymmetric tolerance region@article{paperid:1069731,
author = {Abbasi Ganji, Zainab and Sadeghpour Gildeh, Bahram},
title = {A new multivariate process capability index},
journal = {Total Quality Management and Business Excellence},
year = {2019},
volume = {30},
number = {5},
month = {April},
issn = {1478-3363},
pages = {525--536},
numpages = {11},
keywords = {Multivariate normal distribution; multivariate process capability index; asymmetric tolerance region},
}
%0 Journal Article
%T A new multivariate process capability index
%A Abbasi Ganji, Zainab
%A Sadeghpour Gildeh, Bahram
%J Total Quality Management and Business Excellence
%@ 1478-3363
%D 2019