Activity Number:
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229
- Statistical Process Monitoring of High-Volume Data Streams
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2018 : 2:00 PM to 3:50 PM
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Sponsor:
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Quality and Productivity Section
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Abstract #329384
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Presentation
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Title:
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Some Sampling and Aggregation Strategies for Statistical Process Monitoring
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Author(s):
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William H Woodall* and Inez Zwetsloot
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Companies:
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Virginia Tech and City University of Hong Kong
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Keywords:
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Statstical process control;
Health-related monitoring;
Social network monitoring;
Control charts
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Abstract:
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The rational subgrouping principle for determining an effective sampling plan for process monitoring will be quickly reviewed. There will be some discussion of other issues related to sampling as it applies to monitoring. Because it is very common to form samples by aggregating data over fixed time intervals, there will be a focus on the effect of temporal aggregation on process monitoring performance. The presentation will conclude with some practical advice and directions for future research.
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Authors who are presenting talks have a * after their name.