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Journal ArticleDOI

Optimal one-sided shewhart control charts with variable sampling intervals

Marion R. Reynolds, +1 more
- 01 Jan 1989 - 
- Vol. 8, Iss: 1, pp 51-77
TLDR
In this article, the authors consider the properties of Shewhart control charts when the sampling interval used after each sample is not tixed but instead depends on what is observed in the sample.
Abstract
When a control chart is used to detect changes in a process the usual practice is to take samples from the process using a fixed sampling interval between samples. This paper considers the properties of Shewhart control charts when the sampling interval used after each sample is not tixed but instead depends on what is observed in the sample. The basic rationale is that the sampling interval should be short if there is some indication of a change in the process and long if there is no indication of a change. If the indication of a change is strong enough then the chart signals in the same way as the fixed sampling interval Shewhart chart. The result is that samples will be taken more frequently when there is a change in the process, and this process change can be detected much more quickly than when fixed sampling intervals are used. Expressions for properties such as the average time to signal and the average number of samples to signal are developed. It is shown that if the sampling interval must be cho...

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Citations
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Journal ArticleDOI

A Combined Adaptive Sample Size and Sampling Interval X Control Scheme

TL;DR: In this paper, a combine X control chart is proposed, where the process control engineer waits until the control scheme signals an out-of-control condition, and then the process can be restarted.
Journal ArticleDOI

A Survey of Recent Developments in the Design of Adaptive Control Charts

TL;DR: In this paper, a survey of recent developments in the statistical and economic design of adaptive or dynamic charts that allow some of their parameters to change is presented, in a comprehensive way.
Journal ArticleDOI

CUSUM charts with variable sampling intervals

TL;DR: The variable sampling interval (VSI) CUSUM chart as mentioned in this paper uses short sampling intervals if there is an indication that the process mean may have shifted and long sampling intervals when there is no indication of a change in the mean.
Journal ArticleDOI

X¯ chart with adaptive sample sizes

TL;DR: In this paper, the adaptive-sample-size control chart is compared with the fixed-sample size control chart in terms of average run length under shifts in the process mean of variable magnitude.
Journal ArticleDOI

X̄ Chart with Variable Sample Size and Sampling Intervals

TL;DR: In this article, the X-bar chart with variable sampling intervals (VSI) and the variable sample size (VSS) are compared to the traditional X-Bar chart in detecting shifts in the process.
References
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Book

Introduction to Statistical Quality Control

TL;DR: In this article, the authors present a survey of statistical process control and capability analysis techniques for improving the quality of a business process in the modern business environment, using a variety of techniques.
Journal ArticleDOI

X charts with variable sampling intervals

TL;DR: The variable sampling interval (VSI) chart as discussed by the authors uses a short sampling interval if the sample is close to but not actually outside the control limits, and a long sampling interval for the sample if it is closer to target.
Journal ArticleDOI

A bayes approach to a quality control model

TL;DR: In this paper, a class of statistical quality control procedures and continuous inspection procedures which are optimum for a specified income function and a production model which can only be in one of four states, two of which are states of repair, with known transition probabilities are presented.
Journal ArticleDOI

CUSUM charts with variable sampling intervals

TL;DR: The variable sampling interval (VSI) CUSUM chart as mentioned in this paper uses short sampling intervals if there is an indication that the process mean may have shifted and long sampling intervals when there is no indication of a change in the mean.
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