Title : ( A modified multivariate process capability vector )
Authors: Zainab Abbasi Ganji , Bahram Sadeghpour Gildeh ,Access to full-text not allowed by authors
Abstract
Process capability indices have been widely used in industries to assess the performance of the manufacturing processes. Various different multivariate capability indices have been introduced. In this paper, a new multivariate capability vector is proposed under the assumption of multivariate normality, to assess the production capability of the processes that involve multiple product quality characteristics. Also, we investigate the relation between this index and process centering, as well as the relation between this index and the lower and upper bounds of percentage of non-conforming items manufactured. Two real manufacturing data set are used to demonstrate the effectiveness of the proposed index.
Keywords
, Multivariate normal distribution · Multivariate process capability vector · Asymmetric tolerance region · Process centering · Percentage of non, conforming products@article{paperid:1052478,
author = {Abbasi Ganji, Zainab and Sadeghpour Gildeh, Bahram},
title = {A modified multivariate process capability vector},
journal = {International Journal of Advanced Manufacturing Technology},
year = {2016},
volume = {83},
number = {83},
month = {January},
issn = {0268-3768},
pages = {1221--1229},
numpages = {8},
keywords = {Multivariate normal distribution · Multivariate process capability vector · Asymmetric tolerance region · Process centering · Percentage of non-conforming products},
}
%0 Journal Article
%T A modified multivariate process capability vector
%A Abbasi Ganji, Zainab
%A Sadeghpour Gildeh, Bahram
%J International Journal of Advanced Manufacturing Technology
%@ 0268-3768
%D 2016