A new Shewhart control chart for monitoring process mean based on partially ordered judgment subset sampling

A new Shewhart control chart for monitoring process mean based on partially ordered judgment... In this paper, we propose a new improved Shewhart control chart for monitoring the process mean based on partially ordered judgment subset sampling design. The performance of the suggested control chart is compared with some of the existing control charts based on simple random sampling and ranked set sampling methods. Average, standard deviation and percentiles of the run lengths are used to evaluate the performances of the control charts. It is observed that the proposed control chart is efficient in detecting random shifts in process mean as compared with the traditional quality control charts. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

A new Shewhart control chart for monitoring process mean based on partially ordered judgment subset sampling

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Publisher
Springer Netherlands
Copyright
Copyright © 2014 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-014-0042-7
Publisher site
See Article on Publisher Site

Abstract

In this paper, we propose a new improved Shewhart control chart for monitoring the process mean based on partially ordered judgment subset sampling design. The performance of the suggested control chart is compared with some of the existing control charts based on simple random sampling and ranked set sampling methods. Average, standard deviation and percentiles of the run lengths are used to evaluate the performances of the control charts. It is observed that the proposed control chart is efficient in detecting random shifts in process mean as compared with the traditional quality control charts.

Journal

Quality & QuantitySpringer Journals

Published: Jun 3, 2014

References

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