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Single Variables Control Charts: an Overview
Author(s) -
Cheng Smiley W.,
Thaga Keoagile
Publication year - 2006
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.730
Subject(s) - control chart , statistical process control , shewhart individuals control chart , chart , computer science , process (computing) , control (management) , variable (mathematics) , ewma chart , quality (philosophy) , data mining , reliability engineering , statistics , engineering , mathematics , artificial intelligence , mathematical analysis , philosophy , epistemology , operating system
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.