The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart

DOI10.1080/03610918.2011.620205zbMath1272.62150OpenAlexW2066093123MaRDI QIDQ3168316

Ming Ha Lee

Publication date: 30 October 2012

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2011.620205

zbMATH Keywords

average run lengthMarkov chain approachsynthetic chartmultivariate exponentially weighted moving average chart

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Multivariate analysis and fuzziness (62H86)

Related Items (8)

Simultaneously monitoring frequency and magnitude of events based on bivariate gamma distribution ⋮ Weighted adaptive multivariate CUSUM charts with variable sampling intervals ⋮ One-sided and two one-sided MEWMA charts for monitoring process mean ⋮ Optimal designs of multivariate synthetic |S| control chart based on median run length ⋮ Sensitivity Analyses of the Economic and Economic Statistical Designs of the Multivariate SyntheticT²Chart ⋮ Multivariate Synthetic |S| Control Chart with Variable Sampling Interval ⋮ Multivariate Control Chart Based on Multivariate Smirnov Test ⋮ A Distribution-free Multivariate Change-point Model for Statistical Process Control

Cites Work

• A Multivariate Synthetic Control Chart for Monitoring the Process Mean Vector of Skewed Populations Using Weighted Standard Deviations
• A Multivariate Synthetic Control Chart for Monitoring Process Mean Vector
• The Generalized Synthetic Chart
• THE ROBUSTNESS OF THE SYNTHETIC CONTROL CHART TO NON-NORMALITY
• The Design and Performance of the Multivariate Synthetic-T²Control Chart
• An approach to the probability distribution of cusum run length

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