Full metadata
Title
A P-value based approach for phase II profile monitoring
Description
A P-value based method is proposed for statistical monitoring of various types of profiles in phase II. The performance of the proposed method is evaluated by the average run length criterion under various shifts in the intercept, slope and error standard deviation of the model. In our proposed approach, P-values are computed at each level within a sample. If at least one of the P-values is less than a pre-specified significance level, the chart signals out-of-control. The primary advantage of our approach is that only one control chart is required to monitor several parameters simultaneously: the intercept, slope(s), and the error standard deviation. A comprehensive comparison of the proposed method and the existing KMW-Shewhart method for monitoring linear profiles is conducted. In addition, the effect that the number of observations within a sample has on the performance of the proposed method is investigated. The proposed method was also compared to the T^2 method discussed in Kang and Albin (2000) for multivariate, polynomial, and nonlinear profiles. A simulation study shows that overall the proposed P-value method performs satisfactorily for different profile types.
Date Created
2013
Contributors
- Adibi, Azadeh (Author)
- Montgomery, Douglas C. (Thesis advisor)
- Borror, Connie (Thesis advisor)
- Li, Jing (Committee member)
- Zhang, Muhong (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
xi, 77 p. : col. ill
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.21012
Statement of Responsibility
by Azadeh Adibi
Description Source
Viewed on May 1, 2014
Level of coding
full
Note
Partial requirement for: Ph.D., Arizona State University, 2013
Note type
thesis
Includes bibliographical references (p. 75-77)
Note type
bibliography
Field of study: Industrial engineering
System Created
- 2014-01-31 11:37:57
System Modified
- 2021-08-30 01:36:31
- 2 years 8 months ago
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