X charts with variable sampling intervals
Technometrics
Knowledge-intensive genetic discovery in foreign exchange markets
IEEE Transactions on Evolutionary Computation
Generating robust and flexible job shop schedules using genetic algorithms
IEEE Transactions on Evolutionary Computation
Expert Systems with Applications: An International Journal
Automatic tropical cyclone eye fix using genetic algorithm
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Automated visual inspection expert system for multivariate statistical process control chart
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An economic design of double sampling X charts for correlated data using genetic algorithms
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.07 |
Control charting is a graphical expression and operation of statistical hypothesis testing. In this paper, we develop the economic design of the variable sampling intervals (VSI) T^2 control chart to determine the values of the five test parameters of the chart (i.e. the sample size, the long sampling interval, the short sampling interval, the warning limit, and the control limit) such that the expected total cost, associated with the test procedure, is minimized. The genetic algorithm (GA) is employed to search for the optimal values of the five test parameters of the VSI T^2 chart, and an example is provided to illustrate the solution procedure. Sensitivity analysis is then carried out to investigate the effects of model parameters on the solution of the economic design.