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Activity Number:
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453
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Type:
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Contributed
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Date/Time:
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Wednesday, August 6, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #300732 |
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Title:
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Development of Chart Parameters and ARLS for the Expansion of the MEWMS and MEWMV with Individual Observations
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Author(s):
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Jay Schaffer+ and Chad Eshelman*+
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Companies:
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University of Northern Colorado and University of Northern Colorado
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Address:
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ASRM, Greeley, CO, 80639, ASRM, Greeley, CO, 80639,
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Keywords:
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Multivariate QC ; MEWMS ; MEWMV
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Abstract:
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In SPC, continued development of techniques look for new monitoring charts for processes with multiple correlated variables. Two such charts are the multivariate exponentially weighted moving standard deviation (MEWMS) and multivariate exponentially weighted moving variance (MEWMV). Originally developed by Huwang, Yeh, and Wu (2007), these control charts monitor the trace of the respective covariance matrices for a change in values of the multivariate process using individual observations. Originally, control chart parameters were developed during the simulation process for p = 2 and p = 3 process variables. Using computer simulations of 20,000 replications, further development of the MEWMS and MEWMV used p = 5 and p = 10 correlated variables with individual observations to develop control chart parameters and derive average run lengths similar to those derived by Huwang, Yeh, and Wu.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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