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The effect of gauge measurement capability on MC p and its statistical properties

The effect of gauge measurement capability on MC p and its statistical properties Purpose – The aim of this paper is to consider the effect of gauge measurement capability on the multivariate process capability index ( MC p ). Design/methodology/approach – With respect to measurement capability, the paper investigates the statistical properties of the estimated MC p and considers the effect of gauge measurement capability on the lower confidence bound, hypothesis testing, critical value and power of testing for MC p at the mentioned state. Findings – The results show that gauge measurement capabilities will notably change the results of estimating and testing the process capability index. Originality/value – The research would help quality experts to determine whether their processes meet the required capability, and to make more reliable decisions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

The effect of gauge measurement capability on MC p and its statistical properties

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References (24)

Publisher
Emerald Publishing
Copyright
Copyright © 2009 Emerald Group Publishing Limited. All rights reserved.
ISSN
0265-671X
DOI
10.1108/02656710910966138
Publisher site
See Article on Publisher Site

Abstract

Purpose – The aim of this paper is to consider the effect of gauge measurement capability on the multivariate process capability index ( MC p ). Design/methodology/approach – With respect to measurement capability, the paper investigates the statistical properties of the estimated MC p and considers the effect of gauge measurement capability on the lower confidence bound, hypothesis testing, critical value and power of testing for MC p at the mentioned state. Findings – The results show that gauge measurement capabilities will notably change the results of estimating and testing the process capability index. Originality/value – The research would help quality experts to determine whether their processes meet the required capability, and to make more reliable decisions.

Journal

International Journal of Quality & Reliability ManagementEmerald Publishing

Published: Jun 26, 2009

Keywords: Process analysis; Confidence limits; Multivariate analysis; Manufacturing industries; Performance measures

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