The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
454
|
Type:
|
Topic Contributed
|
Date/Time:
|
Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Quality and Productivity
|
Abstract - #301034 |
Title:
|
Monitoring Process Capability Indices
|
Author(s):
|
Ejaz Syed Ahmed*+ and Abdul K. Hussein
|
Companies:
|
University of Windsor and University of Windsor
|
Address:
|
, windsor, ON, n9b 3p4, canada
|
Keywords:
|
Process Capability ;
Sequential testing ;
Brownian motion
|
Abstract:
|
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.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.