Determination of the optimal allocation of parameters for gauge repeatability and reproducibility study

Jeh‐Nan Pan (Department of Statistics, National Cheng‐Kung University, Tainan, ROC)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Publication date: 1 August 2004

Abstract

Recently, gauge repeatability and reproducibility (GR&R) study has been highly regarded by the quality practitioners when QS9000 and D19000 become fashionable requirements for manufacturing industries. Measurement plays a significant role in helping organizations improve their product quality. Good quality of products is the key factor towards business success. Therefore, how to ensure the quality of measurement becomes an important task for quality practitioners. In performing the GR&R study, several parameters, such as the appropriate sample size of parts (n), number of inspectors (p) and replicate measurements (k) are frequently asked by quality personnel in industries. The adequacy of current way of (n, p, k) selection is very questionable. A statistical method using the shortest confidence interval and its associated computer programming algorithm are presented in this paper for evaluating the optimal allocation among sample size of parts (n), number of inspectors (p) and replicate measurements (k). Hopefully, it can provide a useful reference for quality practitioners in industries.

Keywords

Citation

Pan, J. (2004), "Determination of the optimal allocation of parameters for gauge repeatability and reproducibility study", International Journal of Quality & Reliability Management, Vol. 21 No. 6, pp. 672-682. https://doi.org/10.1108/02656710410542061

Publisher

:

Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited

To read the full version of this content please select one of the options below

You may be able to access this content by logging in via Shibboleth, Open Athens or with your Emerald account.
To rent this content from Deepdyve, please click the button.
If you think you should have access to this content, click the button to contact our support team.