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Activity Number:
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268
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 8, 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 - #305878 |
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Title:
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Distribution-Free Quality Control Charts Based on Signed-Rank-Like Statistics
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Author(s):
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Saad Bakir*+
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Companies:
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Alabama State University
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Address:
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2405 Reston Place, Montgomery, AL, 36117,
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Keywords:
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average run length ; control sequence ; nonparametric ; robustness ; Shewhart
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Abstract:
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In this article, we propose three distribution-free (or nonparametric) statistical quality control charts for monitoring a process center when an in-control target center is not specified. These charts are of the Shewhart-type, the exponentially moving average-type, and the cumulative sum-type. The constructions of the proposed charts require the availability of an initial reference sample taken when the process was operating in-control to calculate an estimator for the unknown in-control target process center. This estimated center is then used in the calculation of signed-rank-like statistics based on grouped observations taken from the process output periodically. As long as the in-control process underlying distribution is continuous and symmetric, the proposed charts have a constant in-control average run length irrespective of the process underlying distribution.
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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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