Using a new VSI EWMA average loss control chart to monitor changes in the difference between the process mean and target and/or the process variability

DOI10.1016/j.apm.2013.03.023zbMath1426.62397OpenAlexW2092571182MaRDI QIDQ1789513

Su-Fen Yang

Publication date: 10 October 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2013.03.023

zbMATH Keywords

Markov chainloss functioncontrol chartvariable sampling intervals

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Related Items (7)

MONITORING THE PROCESS VARIANCE USING GWMA FOR EXPONENTIALLY DISTRIBUTED CHARACTERISTICS ⋮ A new approach for monitoring process variance ⋮ Detecting a shift in variance using economically designed VSI control chart with combined attribute-variable inspection ⋮ Economic and economic–statistical designs of VSI Bayesian control chart using Monte Carlo method and ABC algorithm ⋮ A median loss control chart for monitoring quality loss under skewed distributions ⋮ Multivariate nonparametric control chart with variable sampling interval ⋮ Control charts based on parameter depths

Cites Work

• Unnamed Item
• Monitoring and diagnosing dependent process steps using VSI control charts
• Using one EWMA chart to jointly monitor the process mean and variance
• A control chart based on likelihood ratio test for detecting patterned mean and variance shifts
• Monitoring Process Mean and Variance with a Single Generally Weighted Moving Average Chart
• Economic Design of Max Charts
• Monitoring Process Mean and Variability with One Double EWMA Chart
• Self-starting control chart for simultaneously monitoring process mean and variance
• Variable sampling intervals for multiparameter shewhart charts
• Using VSI Loss Control Charts to Monitor a Process with Incorrect Adjustment
• Adjusted-loss-function charts with variable sample sizes and sampling intervals
• Weighted-loss-function CUSUM chart for monitoring mean and variance of a production process

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