Pages that link to "Item:Q2935141"

The following pages link to A parameter-tuned genetic algorithm for statistically constrained economic design of multivariate CUSUM control charts: a Taguchi loss approach (Q2935141):

Displaying 9 items.

• Optimization of univariate and multivariate exponentially weighted moving-average control charts using genetic algorithms (Q1883894) (← links)
• Economic design of memory-type control charts: the fallacy of the formula proposed by Lorenzen and Vance (1986) (Q1995869) (← links)
• Economic design for exponential control chart: applying Taguchi's loss function and employing genetic algorithm (Q2680685) (← links)
• Optimisation of a set of or principal components control charts using genetic algorithms (Q3163181) (← links)
• Economic-statistical design of simple linear profiles with variable sampling interval (Q5138087) (← links)
• Optimisation of fully adaptive Bayesian charts for infinite-horizon processes (Q5172439) (← links)
• A comparison study of effectiveness and robustness of robust economic designs of<i>T</i>²chart using genetic algorithm (Q5739162) (← links)
• Multi-objective design of risk-adjusted control chart in healthcare systems with economic and statistical considerations (Q6049867) (← links)
• Design and optimization of c-control chart using a triple sampling scheme (Q6120479) (← links)