Category: 110 (Quality control charts)

Title Cat:App Page
Two charts: Not one 110:Y QCAS / 52 / 6 / 601
New demerit control limits for Poisson distributed defects 110:Y QCAS / 52 / 4 / 361
Model-based control charts in phase I statistical process control 110:Y QCAS / 52 / 4 / 363
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 &#9672 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 (X&#772, v) and (X&#772, √ 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