| Phase I control chart for individual autocorrelated data: Application to prescription opioid monitoring |
190:Y |
QCAS / 70 / 1-2 / 19 |
| Transparent sequential learning for statistical process control of serially correlated data |
190:Y |
QCAS / 69 / 5-6 / 341 |
| Predictive control charts (PCC): A Bayesian approach in online monitoring of short runs |
190:Y |
QCAS / 69 / 3-4 / 181 |
| Image based statistical process monitoring via partial first order stochastic dominance |
190:Y |
QCAS / 69 / 1-2 / 29 |
| A review of dispersion control charts for multivariate individual observations |
190:Y |
QCAS / 68 / 3-4 / 189 |
| Abrupt change of process behavior: The Anderson-Darling detection tool |
190:Y |
QCAS / 65 / 1-2 / 15 |
| Signed sequential rank CUSUMs |
190:Y |
QCAS / 64 / 5-6 / 373 |
| Two-level augmented definitive screening designs |
190:Y |
QCAS / 64 / 1-2 / 43 |
| Practitioner advice: ERLDAT-A web-based tool
to design and analyze EWMA control charts |
190:Y |
QCAS / 63 / 5-6 / 385 |
| A Phase II nonparametric adaptive exponentially
weighted moving average control chart |
190:Y |
QCAS / 63 / 5-6 / 387 |
| Self-starting monitoring scheme for Poisson
count data with varying population sizes |
190:Y |
QCAS / 63 / 5-6 / 391 |
| The economic and economic-statistical designs
of Hotelling’s T2 chart on expected average run length |
190:Y |
QCAS / 63 / 5-6 / 395 |
| Statistical process control methods
for monitoring in-house reference standards |
190:B |
QCAS / 61 / 4 / 309 |
| A quality by design approach for longitudinal quality
attributes |
190:Y |
QCAS / 61 / 1-2 / 17 |
| Analytical procedure validation and the quality by design paradigm |
190:Y |
QCAS / 61 / 1-2 / 19 |
| A distribution-free multivariate phase I location control chart
for subgrouped data from elliptical distributions |
190:Y |
QCAS / 60 / 4 / 307 |
| Using SPC in conjunction with APC |
190:Y |
QCAS / 58 / 4 / 311 |
| Bayesian approach to change point estimation in multivariate SPC |
190:Y |
QCAS / 58 / 3 / 185 |
| Variation reduction for multistage manufacturing processes: A comparison survey of statistical-process-control vs. stream- of-variation methodologies |
190:Y |
QCAS / 56 / 5-6 / 437 |
| A cumulative sum scheme for monitoring frequency and size of an event |
190:Y |
QCAS / 56 / 4 / 315 |
| Linear filter model representations for integrated process control with repeated adjustments and monitoring |
190:Y |
QCAS / 56 / 3 / 187 |
| A visualization decision support tool for multivariate SPC diagnosis using marginal CUSUM glyphs |
190:Y |
QCAS / 56 / 3 / 189 |
| Trading machines: Using SPC to assess performance of financial trading systems |
190:A |
QCAS / 56 / 1-2 / 27 |
| An industrial monitoring problem |
190:M |
QCAS / 56 / 1-2 / 29 |
| Some Reflections on G.E.P. Box’s contributions to statistics and quality improvement |
190:Y |
QCAS / 56 / 1-2 / 31 |
| George Box: A source of inspiration for quality and productivity |
190:Y |
QCAS / 56 / 1-2 / 33 |
| The determination of economic production run length and manufacturing target by considering quality loss function |
190:A |
QCAS / 55 / 1-2 / 23 |
| Statistical quality control for DNA microarray data: A model of type I error |
190:B |
QCAS / 54 / 3 / 193 |
| Distorting value added: The use of longitudinal, vertically scaled student achievement data for growth based, value added accountability |
190:T |
QCAS / 52 / 3 / 267 |
| Lot streaming for quality control in two-stage batch production |
190:Y |
QCAS / 51 / 6 / 607 |
| A virtual system for vision based SPC |
190:Y |
QCAS / 51 / 2 / 147 |
| A phenomenological taxonomy for systematizing knowledge on nonconformances |
190:Y |
QCAS / 50 / 6 / 623 |
| Should observations be grouped for effective process monitoring? |
190:Y |
QCAS / 50 / 4 / 367 |
| Proposal and implementation of the “Science SQC” quality control principle |
190:Y |
QCAS / 49 / 6 / 607 |
| Data quality in statistical process control |
190:Y |
QCAS / 49 / 5 / 519 |
| An empirical indicator of product appearance for process control |
190:Y |
QCAS / 49 / 4 / 381 |
| Context-based statistical process control: A monitoring procedure for state-dependent processes |
190:Y |
QCAS / 49 / 4 / 383 |
| SPC: From chaos to wiping the floor |
190:Y |
QCAS / 49 / 2 / 129 |
| Statistical process control procedures for controlling the weight of packets of biscuits |
190:Y |
QCAS / 49 / 1 / 27 |
| The advantages of continuous measurements over pass/fail data |
190:Y |
QCAS / 49 / 1 / 29 |
| An economic inspection interval for control of defective items in a hot rolling mill |
190:M |
QCAS / 48 / 6 / 615 |
| Statistical control of a Six Sigma process |
190:Y |
QCAS / 48 / 6 / 617 |
| Using factor effects analysis to improve statistical process control |
190:Y |
QCAS / 48 / 3 / 253 |
| Using factor effects analysis to improve statistical process control |
190:Y |
QCAS / 48 / 2 / 123 |
| Lot acceptance and compliance testing using the sample mean and an extremum |
190:Y |
QCAS / 48 / 1 / 34 |
| Evaluating environmental performance using statistical process control techniques |
190:Z |
QCAS / 48 / 1 / 37 |
| SPC – a team effort for process improvement across four Area Control Centers |
190:Y |
QCAS / 47 / 6 / 615 |
| CUSUM-based person-fit statistics for adaptive testing |
190:Y |
QCAS / 47 / 6 / 617 |
| Sociotechnical reasons for the de-evolution of statistical process control |
190:Y |
QCAS / 47 / 5 / 497 |
| Controlling change: Process monitoring and adjustment during transition periods |
190:Y |
QCAS / 47 / 5 / 499 |
| Beyond improved quality: The motivational effects of statistical process control |
190:A |
QCAS / 47 / 4 / 379 |
| Robustness of robust process optimization |
190:Y |
QCAS / 47 / 4 / 381 |
| Some new classroom cases for teaching statistical quality control methods |
190:T |
QCAS / 47 / 3 / 255 |
| The multivariate short-run snapshot Q chart |
190:Y |
QCAS / 47 / 3 / 257 |
| The statistical monitoring of a complex manufacturing process |
190:M |
QCAS / 47 / 2 / 133 |
| Multidimensional scaling used in multivariate statistical process control |
190:Y |
QCAS / 47 / 2 / 135 |
| Joint estimation: SPC method for short-run autocorrelated data |
190:Y |
QCAS / 47 / 2 / 137 |
| SPC: Making it work for the gas transportation business |
190:Z |
QCAS / 47 / 1 / 17 |
| Understanding the hierarchy of process control |
190:Y |
QCAS / 46 / 5 / 503 |
| Controversies and contradictions in statistical process control |
190:Y |
QCAS / 46 / 4 / 387 |
| Transforming the exponential for SPC applications |
190:Y |
QCAS / 45 / 1 / 21 |
