Using Control Charts to Monitor Process and Product Quality Profiles

By William H. Woodall, Dan J. Spitzner, Douglas C. Montgomery, Shilpa Gupta. 2004

563 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/719796714808a0d600660ecbe1a7131e037ea80f

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Citations in the corpus

The Use of Control Charts in Health-Care and Public-Health Surveillance (2006, methodology): “With 100% inspection, the benefits of the more general RSPRT over the standard one-sided CUSUM, a RSPRT itself with a reflecting boundary at zero, are not substantial.”
Phase I monitoring of generalized linear model-based regression profiles (2015, background): “[8] and Woodall [9] reviewed the literature of profile monitoring and recommended doing more research in this area due to many applications of profiles in industry and services.”
A CUSUM-based method for monitoring simple linear profiles (2009, background): “[20], Wang and Tsung [17], Woodall [19], and Zou et al.”
Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes (2007, background): “Another concern mentioned by Kim et al. (2003) and Woodall et al. (2004) is that although the MEWMA chart may improve the performance of the T2 chart, the interpretation of an out-of-control signal would not be straightforward.”
Phase II Monitoring of Nonlinear Profiles (2009, background): “Woodall et al. (2004) addressed how models involving spline and wavelet transformations can be applied for monitoring complex profiles.”
The monitoring of simple linear regression profiles with two observations per sample (2010, background): “[23] highlighted the importance of carefully distinguishing between Phase I and Phase II applications.”
Functional Modelling and Classification of Longitudinal Data * (2005, background): “…by observations in the form of random trajectories, such as time-course gene expression data (Aach & Church, 2001; Liu & Müller, 2003; Zhao et al., 2004), physiological time courses (Ratcliffe et al., 2002) or industrial and quality control problems (Faraway, 1997; Woodall et al., 2004).”
Monitoring polynomial profiles in quality control applications (2009, background): “Some of the practical applications of profiles have been reported by many researchers including [5, 9, 12, 15–18].”
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).”
Current research on profile monitoring (2007, methodology): “As pointed out by Woodall et al. (2004), however, one should keep in mind that monitoring only a subset of Produção, v. 17, n. 3, p. 420-425, Set.”
On the Monitoring of Autocorrelated Linear Profiles (2008, background): “( 2004 ), and Wang and Tsung ( 2005 ) have discussed practical applications of profiles.”
Profile Monitoring with Binary Data and Random Predictors (2011, background): “An extensive discussion of research problems on this topic was given by Woodall et al. (2004).”
Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006, methodology): “An incomplete list includes control charts for monitoring profiles discussed by Woodall et al. (2004), simultaneous charts (such as EWMA charts with Shewhart limits), and charts using variable sample sizes and/or sampling intervals (Reynolds et al. (1988), Prabhu et al. (1994), Costa (1997)).”
A Self-Starting Control Chart for Linear Profiles (2007, background): “In particular, most studies focused on the simple linear regression profiles (Woodall et al. (2004)).”
Monitoring Correlation Within Linear Profiles Using Mixed Models (2008, background): “For a detailed overview to the concepts, examples of its application, and a review of the literature, see Woodall et al. (2004) and Woodall (2007).”