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Activity Number:
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412
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #305935 |
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Title:
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Single Variables Control Chart: an Overview
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Author(s):
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Smiley Cheng*+ and Keoagile Thaga
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Companies:
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University of Manitoba and University of Botswana
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Address:
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Department of Statistics, Winnipeg, MB, R3T2N2, Canada
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Keywords:
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single chart ; statistical process control ; variables data ; autocorrelated processes
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Abstract:
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Control charts are used widely 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 will give an overview of control charts proposed in the last decade or so in an effort to use only one chart to monitor both process location and spread simultaneously. 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.
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