| Performance assessment and improvement of control charts for statistical batch process monitoring |
110:Y |
QCAS / 52 / 3 / 241 |
| Self-adapting control charts |
110:Y |
QCAS / 52 / 3 / 243 |
| Effects of parameter estimation on control chart properties: A literature review |
110:Y |
QCAS / 52 / 3 / 245 |
| Phase I analysis for monitoring nonlinear profiles in manufacturing processes |
110:Y |
QCAS / 52 / 3 / 249 |
| The use of control charts in health-care and public-health surveillance |
110:Y |
QCAS / 52 / 3 / 253 |
| Statistical process adjustment: A brief retrospective, current status and some opportunities for further work |
110:Y |
QCAS / 52 / 3 / 257 |
| Monitoring paper production using a spectral control chart designed to detect in the presence of multiple cycles |
110:Y |
QCAS / 52 / 2 / 121 |
| Unit and group-runs chart to identify increases in fraction nonconforming |
110:Y |
QCAS / 52 / 2 / 125 |
| Using CUSUM control schemes for monitoring quality levels in compound Poisson production environment: The geometric Poisson process |
110:Y |
QCAS / 52 / 2 / 127 |
| New corrections for old control charts |
110:Y |
QCAS / 52 / 2 / 129 |
| An alternative approach to multivariate EWMA control chart |
110:Y |
QCAS / 52 / 1 / 13 |
| The RL2 chart versus the np chart for detecting upward shifts in fraction defective |
110:Y |
QCAS / 51 / 6 / 601 |
| The random intrinsic fast initial response of one-sided CUSUM charts |
110:Y |
QCAS / 51 / 6 / 603 |
| Improved design of proportional integral derivative charts |
110:Y |
QCAS / 51 / 5 / 481 |
| Should exponentially weighted moving average and cumulative sum charts be used with Shewhart limits? |
110:Y |
QCAS / 51 / 5 / 485 |
| Determining the actual time of a variance increment or reduction using the moving range control chart |
110:Y |
QCAS / 51 / 5 / 487 |
| Properties of the T2 control chart when parameters are estimated |
110:Y |
QCAS / 51 / 5 / 489 |
| A comparative study of CUSUM and EWMA charts: Detection of incipient drifts in a multivariate framework |
110:Y |
QCAS / 51 / 4 / 361 |
| The inertial properties of quality control charts |
110:Y |
QCAS / 51 / 4 / 365 |
| A modified S chart for the process variance |
110:Y |
QCAS / 51 / 4 / 367 |
| A control chart based on sample median for the detection of a permanent shift in the process mean |
110:Y |
QCAS / 51 / 3 / 241 |
| Two modified semicircle control charts for detecting process improvement |
110:Y |
QCAS / 51 / 2 / 125 |
| Quality control measurement of an engineering productivity index |
110:Y |
QCAS / 51 / 2 / 129 |
| A quality control chart for work performance appraisal |
110:A |
QCAS / 51 / 1 / 13 |
| Using CUSUM control schemes for monitoring quality levels in compound Poisson production environment: The geometric Poisson process |
110:Y |
QCAS / 51 / 1 / 17 |
| Nonparametric control charts based on Mahalanobis depth |
110:Y |
QCAS / 51 / 1 / 21 |
| Graphical representation of run length distributions |
110:Y |
QCAS / 50 / 6 / 601 |
| Multi-resolution wavelets analysis approach for the recognition of concurrent control chart patterns |
110:Y |
QCAS / 50 / 6 / 603 |
| A neural network method for modelling the parameters of a CUSUM chart |
110:Y |
QCAS / 50 / 6 / 605 |
| Acceptance control charts for non-normal data |
110:Y |
QCAS / 50 / 5 / 481 |
| Powerful rules for the Hotelling’s ◈ control chart |
110:Y |
QCAS / 50 / 5 / 485 |
| Empirical non-parametric control charts: Estimation effects and corrections |
110:Y |
QCAS / 50 / 1 / 13 |
| Minimum average total inspection of variable lot-size sampling plan for continuous production |
110:A |
QCAS / 49 / 5 / 481 |
| A performance analysis of Hotelling’s X2 control chart with supplementary runs rules |
110:A |
QCAS / 49 / 5 / 485 |
| Design of multiple cause-selecting charts for multistage processes |
110:Y |
QCAS / 49 / 5 / 489 |
| Robust individuals control chart for exploratory analysis |
110:Y |
QCAS / 49 / 5 / 495 |
| The run length distribution of the CUSUM with estimated parameters |
110:Y |
QCAS / 49 / 5 / 499 |
| Performance evaluation of dynamic monitoring systems: The waterfall chart |
110:Y |
QCAS / 49 / 4 / 361 |
| The reverse moving average control chart for monitoring autocorrelated processes |
110:Y |
QCAS / 49 / 4 / 365 |
| The generally weighted moving average control chart for detecting small shifts in the process mean |
110:Y |
QCAS / 49 / 4 / 369 |
| An adaptive exponentially weighted moving average control chart |
110:Y |
QCAS / 49 / 2 / 121 |
| Three-triplet np control charts |
110:Y |
QCAS / 49 / 1 / 13 |
| On the performance of geometric charts with estimated control limits |
110:M |
QCAS / 48 / 5 / 481 |
| A review and extension of control limit methods for nonnormal distributions |
110:Y |
QCAS / 48 / 5 / 485 |
| A computer program to calculate two-stage short-run control chart factors for (X̄, v) and (X̄, √ v) charts |
110:Y |
QCAS / 48 / 5 / 487 |
| Percent defective summary chart: Solving a real shop problem |
110:Y |
QCAS / 48 / 4 / 361 |
| Proportional integral derivative charts for process monitoring |
110:Y |
QCAS / 48 / 3 / 241 |
| Assignable causes and auto correlation: Control charts for observations or residuals? |
110:Y |
QCAS / 47 / 6 / 601 |
| An accurate algorithm to compute the run length probability distribution, and its convolutions, for a CUSUM chart to control normal mean |
110:Y |
QCAS / 47 / 6 / 605 |
| The geometric CUSUM chart with sampling inspection for monitoring fraction defective |
110:Y |
QCAS / 47 / 5 / 481 |
| The autoregressive T2 chart for monitoring univariate autocorrelated processes |
110:Y |
QCAS / 47 / 5 / 485 |
| SPC: A team effort for process improvement across four area control centers |
110:Y |
QCAS / 47 / 2 / 121 |
| Choosing a lower specification limit for an exponential process with ‘the larger the better’ tolerance: A simple, exact solution |
110:Y |
QCAS / 46 / 5 / 481 |
| SPC modified with percent tolerance precontrol charts |
110:Y |
QCAS / 46 / 4 / 361 |
| Estimating the process standard deviation based on Downton’s estimator |
110:Y |
QCAS / 46 / 4 / 363 |
| Loss-based optimal control statistics for control charts |
110:Y |
QCAS / 46 / 3 / 241 |
| Monitoring process dispersion without subgrouping |
110:Y |
QCAS / 46 / 3 / 245 |
| Shift detection properties of moving centerline control chart schemes |
110:Y |
QCAS / 46 / 1 / 13 |
| A nonparametric control chart for a symmetric process: A Markovian approach |
110:Y |
QCAS / 46 / 1 / 15 |
| Toward the implementation of a universal control chart and estimation of its average run length using a spreadsheet |
110:Y |
QCAS / 45 / 6 / 607 |
| Control limits for group charts |
110:Y |
QCAS / 45 / 6 / 609 |
| A synthetic control chart for detecting small shifts in the process mean |
110:Y |
QCAS / 45 / 5 / 483 |
| Fast initial response in a CUSUM mask scheme |
110:Y |
QCAS / 45 / 5 / 487 |
| Performance of control charts for autoregressive conditional heteroscedastic processes |
110:Y |
QCAS / 45 / 5 / 491 |
| On the run length of the EWMA scheme: A monotonicity result for normal variables |
110:Y |
QCAS / 45 / 4 / 365 |
| Control charts based on the number of consecutive conforming items between two successive nonconforming items for the near zero-nonconformity processes |
110:Y |
QCAS / 45 / 3 / 241 |
| New robust statistical process control chart for location |
110:Y |
QCAS / 45 / 3 / 247 |
| Normality test by Shewhart control chart |
110:Y |
QCAS / 45 / 3 / 251 |
| Robustness of the EWMA control chart to non-normality |
110:Y |
QCAS / 45 / 2 / 125 |
| Shewhart control charts for the scale parameter of a Weibull control variable with fixed and variable sampling intervals |
110:Y |
QCAS / 45 / 2 / 129 |
| Control charts for monitoring the mean and variance of autocorrelated processes |
110:Y |
QCAS / 45 / 1 / 15 |
