Effect of Estimation on Simple Linear Profile Monitoring under Non-normality
Abstract
In
recent years, many control charts have been proposed to monitor profiles where
the quality of a process/product is expressed as function of response and
explanatory variable(s). The methods mostly assume that the in control
parameter values are known in Phase II analysis and innovations are normally
distributed. However, in practice, the parameters are estimated in Phase I
analysis and innovations may be non-normal. In this study, the performance of T2,
EWMA-R and EWMA-3 methods for monitoring simple linear profiles is examined via
simulation where the parameters are estimated and innovations have Student’s
t-distribution. As a
performance measure, both the average and standard deviation of the run length is
considered. Finally,
some recommendations for practitioners are summarized in a table.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Burcu Aytaçoğlu
*
0000-0002-7164-9240
Türkiye
Özlem Türker Bayrak
This is me
0000-0003-0821-150X
Publication Date
April 1, 2019
Submission Date
January 2, 2019
Acceptance Date
April 4, 2019
Published in Issue
Year 2019 Volume: 23 Number: 1