Optimisation of a set of or principal components control charts using genetic algorithms
From MaRDI portal
Publication:3163181
DOI10.1080/00207540903095426zbMath1197.90115OpenAlexW1993564494MaRDI QIDQ3163181
Francisco Aparisi, Marco A. de Luna, Eugenio K. Epprecht
Publication date: 25 October 2010
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207540903095426
Cites Work
- Design and optimization of EWMA control charts for in-control, indifference, and out-of-control regions
- Optimization of univariate and multivariate exponentially weighted moving-average control charts using genetic algorithms
- Joint statistical design of double sampling \(\bar X\) and \(s\) charts
- Contributors to a multivariate statistical process control chart signal
- Estimation of the Means of Dependent Variables
- Multivariate quality control
- Multivariate Generalizations of Cumulative Sum Quality-Control Schemes
- A Multivariate Exponentially Weighted Moving Average Control Chart
- Choosing principal components for multivariate statistical process control
- The Design and Performance of the Multivariate Synthetic-T2Control Chart
- Rectangular Confidence Regions for the Means of Multivariate Normal Distributions
This page was built for publication: Optimisation of a set of or principal components control charts using genetic algorithms
