X charts with variable sampling intervals
Technometrics
Economic design of variable sampling intervals T2 control charts using genetic algorithms
Expert Systems with Applications: An International Journal
Generating robust and flexible job shop schedules using genetic algorithms
IEEE Transactions on Evolutionary Computation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Economic design of autoregressive moving average control chart using genetic algorithms
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multivariate adaptive approach for monitoring simple linear profiles
International Journal of Data Analysis Techniques and Strategies
Multivariate adaptive approach for monitoring simple linear profiles
International Journal of Data Analysis Techniques and Strategies
Hi-index | 12.06 |
Control charting is a graphical expression and operation of statistical hypothesis testing. In the present paper, we develop the economic design of the exponentially weighted moving average (EWMA) chart using variable sampling intervals with sampling at fixed times (VSIFT) control scheme to determine the values of the six test parameters of the chart (i.e., the sample size, the fixed sampling interval, the number of subintervals between two consecutive sampling times, the warning limit coefficient, the control limit coefficient, and exponential weight constant) such that the expected total cost per hour is minimized. The genetic algorithms (GA) are applied to search for the optimal values of the six test parameters of the VSIFT EWMA chart, and then an example and its solution are provided. Finally, a sensitivity analysis is carried out to investigate the effect of model parameters on the solution of the economic design.