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Activity Number:
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102
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #300804 |
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Title:
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Profile Monitoring for Attributes Data
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Author(s):
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Arthur Yeh*+
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Companies:
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Bowling Green State University
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Address:
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Department of Applied Statistics and OR, Bowling Green, OH, 43403,
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Keywords:
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Profile Monitoring ; Phase I Control ; Attributes Response ; Logistic Regression ; Covariance Matrix ; Shewhart Chart
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Abstract:
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Pertaining to industrial applications in which the response variable of interest is binary, we study how the profile functional relationship between the response and predictor variables can be monitored using logistic regression. Under such a premise, we extend and study several Hotelling T^2-charts that have been studied under continuous response variable to binary response variable for the purpose of Phase I profile monitoring. Based on simulations, we compare the performance of these T^2-charts charts in terms of the signal probability for different out-of-control scenarios. A real example originated from aircraft construction is given in which these T^2-charts are applied and compared using the data. A discussion of potential future research is also given.
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