Design and optimization of EWMA control charts for in-control, indifference, and out-of-control regions

DOI10.1016/J.COR.2005.08.003zbMath1187.62203OpenAlexW2002335360MaRDI QIDQ868149

J. Carlos García-Díaz, Francisco Aparisi

Publication date: 19 February 2007

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2005.08.003

zbMATH Keywords

genetic algorithmsstatistical process controlindifferencein-controlout-of-control regions

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Approximation methods and heuristics in mathematical programming (90C59) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (4)

Optimisation of a set of or principal components control charts using genetic algorithms ⋮ Synthetic-\(\bar X\) control charts optimized for in-control and out-of-control regions ⋮ Online control by attributes in the presence of classification errors with variable inspection interval ⋮ Economic Design of Cumulative Sum Control Charts for Monitoring a Process with Correlated Samples

Uses Software

• Genocop

Cites Work

• On the average run lengths of quality control schemes using a Markov chain approach
• Optimization of univariate and multivariate exponentially weighted moving-average control charts using genetic algorithms
• The Economic Design of Control Charts: A Unified Approach
• Design of double- and triple-sampling X-bar control charts using genetic algorithms
• An approach to the probability distribution of cusum run length
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