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Abstract Details
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Activity Number:
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239
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2012 : 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 - #304132 |
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Title:
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Exploring the Relationship Between Your Ability to Detect Production Process Shifts and Measurement System and Process Settings
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Author(s):
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Laura Lancaster*+ and Christopher Gotwalt
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Companies:
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SAS Institute and SAS Institute
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Address:
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100 SAS Campus Drive, Cary, NC, 27513, United States
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Keywords:
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Process Behavior Charts ;
Measurement Systems Analysis ;
Control Charts ;
Signal Detection
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Abstract:
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The ability to detect a signal on a process behavior chart is important for any production process. This ability is affected by the random noise in the process and the measurement system error as well as the types of tests and subgroup sampling method used in the chart. We have developed a new technique that calculates the probability of detecting a shift in the production process that is customizable to production process variability, measurement error, various warning tests, and the number and size of subgroups. We will explain our technique for calculating the shift detection probabilities and show the results of a computer simulation experiment aimed at optimizing the ability to predict process shifts that uses this technique.
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