Current research on profile monitoring

By William H. Woodall. 2007

328 citations recorded by the source corpus.

In many applications the quality of a process or product is best characterized and summarized by a functional relationship between a response variable and one or more explanatory variables. Profile monitoring is used to understand and to check the stability of this relationship over time. At each sampling stage one observes a collection of data points that can be represented by a curve (or profile). In some calibration applications, the profile can be represented adequately by a simple linear regression model, while in other applications more complicated models are needed. The purposes of this paper are to review recent research on the use of control charts to monitor process and product quality profiles and to encourage further research in this area.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6140862a78bcfc833aad7450b506d47a1d21f45d

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Citations in the corpus

Monitoring Correlation Within Linear Profiles Using Mixed Models (2008, methodology): “The details of the derivation are given in Jensen, Birch, and Woodall (2006). With the simplification, Equations (8) and (12) can be written as”
A CUSUM-based method for monitoring simple linear profiles (2009, background): “Stover and Brill [15], Mahmoud and Woodall [10], Woodall et al. [20], Wang and Tsung [17], Woodall [ 19 ], and Zou et al. [21] introduced practical applications of profiles.”
The monitoring of simple linear regression profiles with two observations per sample (2010, background): “The reader is referred to Woodall 21 22 for a comprehensive review of recent research on the use of control charts to monitor process and product quality profiles.”
Phase I monitoring of generalized linear model-based regression profiles (2015, background): “Mahmoud and Woodall [4] proposed an F approach for simple linear profile monitoring in Phase I.”
Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014, methodology): “Reviews of work in profile monitoring were given by Woodall et al. (2004) and Woodall (2007), but for a more up-to-date overview, we recommend Noorossana et al. (2011).”
Profile Monitoring with Binary Data and Random Predictors (2011, background): “, and Woodall, W. H. (2008). “Monitoring Correlation Within Linear Profiles Using Mixed Models”. Journal of Quality Technology, 40, pp. 167–183. Jensen, W. A., Jones-Farmer, L. A., Champ, C. W., and Woodall, W. H. (2006). “Effects of Parameter Estimation on Control Chart Properties: A Literature Rev”