A parameter-tuned genetic algorithm for statistically constrained economic design of multivariate CUSUM control charts: a Taguchi loss approach

DOI10.1080/00207721.2011.570878zbMath1305.93209OpenAlexW1996050090MaRDI QIDQ2935141

Mohammad Javad Ershadi, Seyed Taghi Akhavan Niaki

Publication date: 22 December 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2011.570878

zbMATH Keywords

genetic algorithmresponse surface methodologyeconomic-statistical designmultivariate CUSUMTaguchi loss function

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Optimal stochastic control (93E20)

Related Items (5)

Multi-objective design of risk-adjusted control chart in healthcare systems with economic and statistical considerations ⋮ Design and optimization of c-control chart using a triple sampling scheme ⋮ Economic-statistical design of simple linear profiles with variable sampling interval ⋮ Economic design of memory-type control charts: the fallacy of the formula proposed by Lorenzen and Vance (1986) ⋮ Optimisation of fully adaptive Bayesian charts for infinite-horizon processes

Cites Work

• Adaptive sampling enhancement for Hotelling's \(T^{2}\) charts
• Joint economic design of EWMA control charts for mean and variance
• `` Direct Search Solution of Numerical and Statistical Problems
• An economic design of [xbar control chart using quadratic loss function]

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