Access the full text.
Sign up today, get DeepDyve free for 14 days.
Shilpa Gupta, D. Montgomery, W. Woodall (2006)
Performance evaluation of two methods for online monitoring of linear calibration profilesInternational Journal of Production Research, 44
W. Woodall, D. Spitzner, D. Montgomery, Shilpa Gupta (2004)
Using Control Charts to Monitor Process and Product Quality ProfilesJournal of Quality Technology, 36
D. Montgomery (1985)
Introduction to Statistical Quality Control
W. Woodall (2007)
Current research on profile monitoringProduction Journal, 17
Kaibo Wang, F. Tsung (2005)
Using Profile Monitoring Techniques for a Data‐rich Environment with Huge Sample SizeQuality and Reliability Engineering International, 21
E. Walker, S. Wright (2002)
Comparing Curves Using Additive ModelsJournal of Quality Technology, 34
Keunpyo Kim, Mahmoud Mahmoud, W. Woodall (2003)
On the Monitoring of Linear ProfilesJournal of Quality Technology, 35
Mahmoud Mahmoud, P. Parker, W. Woodall, D. Hawkins (2007)
A change point method for linear profile dataQuality and Reliability Engineering International, 23
S. Niaki, B. Abbasi, J. Arkat (2007)
A generalized linear statistical model approach to monitor profilesInternational journal of engineering. Transactions A: basics, 20
Mahmoud Mahmoud, W. Woodall (2004)
Phase I Analysis of Linear Profiles With Calibration ApplicationsTechnometrics, 46
WH Woodall (2007)
Current research on profile monitoringRev Producao, 17
Willis Jensen, J. Birch (2009)
Profile Monitoring via Nonlinear Mixed ModelsJournal of Quality Technology, 41
R. Kazemzadeh, R. Noorossana, A. Amiri (2008)
Phase I Monitoring of Polynomial ProfilesCommunications in Statistics - Theory and Methods, 37
Changliang Zou, F. Tsung, Zhaojun Wang (2007)
Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average SchemesTechnometrics, 49
C Croarkin, R Varner (1982)
Measurement assurance for dimensional measurements on integrated-circuit photomasks. NBS Technical Note 1164
W. Woodall, Mahmoud Mahmoud (2005)
The Inertial Properties of Quality Control ChartsTechnometrics, 47
Changliang Zou, Yujuan Zhang, Zhaojun Wang (2006)
A control chart based on a change-point model for monitoring linear profilesIIE Transactions, 38
F. Stover, Robert Brill (1998)
Statistical quality control applied to ion chromatography calibrationsJournal of Chromatography A, 804
Lan Kang, S. Albin (2000)
On-Line Monitoring When the Process Yields a Linear ProfileJournal of Quality Technology, 32
R. Kazemzadeh, R. Noorossana, A. Amiri (2009)
Monitoring polynomial profiles in quality control applicationsThe International Journal of Advanced Manufacturing Technology, 42
James Williams, W. Woodall, J. Birch (2007)
Statistical monitoring of nonlinear product and process quality profilesQuality and Reliability Engineering International, 23
R. Alsana, A. Amiri (2007)
ENHANCEMENT OF LINEAR PROFILES MONITORING IN PHASE II, 18
Yu Ding, L. Zeng, Shiyu Zhou (2006)
Phase I Analysis for Monitoring Nonlinear Profiles in Manufacturing ProcessesJournal of Quality Technology, 38
In most statistical process control applications, the quality of a process or product is characterized by univariate or multivariate quality characteristics and monitored by the corresponding univariate and multivariate control charts, respectively. However, sometimes, the quality of a process or a product is better characterized by a relationship between a response variable and one or more explanatory variables. This relationship, which can be linear, nonlinear, or even a complicated model, is referred to as a profile. So far, several methods have been proposed for monitoring simple linear profiles. In this paper, a new method based on cumulative sum statistics is proposed to enhance monitoring of linear profiles in phase II. The performance of the proposed method is evaluated by average run length criterion. A comprehensive comparison is also conducted between the performance of the proposed method and the existing methods for monitoring simple linear profiles. The results show that the proposed method performs satisfactorily. In addition, the effects of reference value, sample size, and corrected sum of squares of explanatory variables on the performance of the proposed method are investigated.
The International Journal of Advanced Manufacturing Technology – Springer Journals
Published: May 13, 2009
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.