Category: 190 (Other)

Title Cat:App Page
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