Single Variables Control Charts: an Overview

Smiley W. Cheng, Keoagile Thaga

Quality and Reliability Engineering International · 2006 · 109 citations · 14 references

Concepts

TL;DR

Control charts are widely used in industry to monitor process quality, typically employing separate charts for location and spread when handling variable data. The paper reviews recent single‑chart methods that aim to monitor both process location and spread simultaneously. The review discusses two approaches: plotting two quality characteristics together, or using a single plotting variable that captures both location and spread. © 2006 John Wiley & Sons, Ltd.

Abstract

Control charts are widely used in industries to monitor a process for quality improvement. When dealing with variables data, we usually employ two control charts to monitor the process location and spread. We give an overview of the control charts proposed in the last decade or so in an effort to use only one chart to simultaneously monitor both process location and spread. Two approaches have been advocated for using one control chart for process monitoring. One approach plots two quality characteristics in the same chart while the other uses one plotting variable to represent the process location and spread. Copyright © 2006 John Wiley & Sons, Ltd.

References

14