A Neural Network Approach to Synthetic Control Chart for the Process Mean

In this project, a multivariate synthetic control chart for monitoring the process mean vector of skewed populations using weighted standard deviations has been proposed. The proposed chart incorporates the weighted standard deviation (WSD) method of Chang and Bai (2004) into the standard multivariate synthetic chart of Ghute and Shirke (2008)

Shewhart control schemes with supplementary 2‐of‐(h + 1) side‐sensitive runs‐rules under the Burr‐type XII distribution

Please read abstract in the article.http://wileyonlinelibrary.com/journal/qre2019-09-27hj2018Science, Mathematics and Technology Educatio

Comparisons of Neural Networks, Shewhart ‾x, and CUSUM Control Charts Under the Condition of Nonnormality

In this study, neural networks are developed under conditions of nonnormality as alternatives to standard control charts, and their performance is compared with those of standard ‾x and CUSUM control charts

A study on improving the performance of control charts under non-normal distributions

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