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Abstract Details
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Activity Number:
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454
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 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 - #301034 |
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Title:
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Monitoring Process Capability Indices
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Author(s):
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Ejaz Syed Ahmed*+ and Abdul K. Hussein
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Companies:
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University of Windsor and University of Windsor
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Address:
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, windsor, ON, n9b 3p4, canada
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Keywords:
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Process Capability ;
Sequential testing ;
Brownian motion
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Abstract:
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A Process Capability Index (PCI) is a numeric summary that compares the behavior of a product or process characteristics to engineering specifications. We propose a sequential procedure for testing whether two processes are equally capable by using. We employ a nonsequential Wald-type statistic and provide its sequential version by Brownian motion approximations. We point out that, as a byproduct, the nonsequential Wald-type statistic used here, provides an easily computable alternative to Boyels' approximate F-test (Boyels 1991). We give an algorithm for conducting the sequential test and we examine its performance by Monte Carlo simulations. Finally, we illustrate the method by testing capability improvement of an industrial process before and after calibration based on published data.
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