Price-endings when prices signal quality |
640:Y |
QCAS / 46 / 6 / 689 |
Test case selection with and without replacement |
730:Y |
QCAS / 46 / 6 / 697 |
A class of weighted dependence measures for bivariate failure time data |
820:Y |
QCAS / 46 / 6 / 699 |
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 |
A new SPC monitoring method: The ARMA chart |
111:Y |
QCAS / 46 / 5 / 485 |
Two alternatives to the Shewhart X̄ control chart |
111:Y |
QCAS / 46 / 5 / 489 |
A demerits control chart for autocorrelated data |
112:Y |
QCAS / 46 / 5 / 491 |
Control charts and feedback adjustments for a jump disturbance model |
119:Y |
QCAS / 46 / 5 / 495 |
Determination of the optimal process mean with the consideration of variance reduction and process capability |
120:Y |
QCAS / 46 / 5 / 499 |
Understanding the hierarchy of process control |
190:Y |
QCAS / 46 / 5 / 503 |
Using order statistics to assess the sampling variability of personnel selection utility estimates |
210:Y |
QCAS / 46 / 5 / 505 |
Clinical trials and sample size considerations: Another perspective |
240:Y |
QCAS / 46 / 5 / 507 |
Too much or too little ambiguity: The language of total quality management |
311:Y |
QCAS / 46 / 5 / 513 |
Obstacles to implementing quality |
319:Y |
QCAS / 46 / 5 / 515 |
Checklists: A perfect tool to tune up your quality manual |
320:Y |
QCAS / 46 / 5 / 517 |
Integrating Kano’s model in the planning matrix of quality function deployment |
323:Y |
QCAS / 46 / 5 / 519 |
Improvement in organizational performance and self-assessment practices by selected American firms |
329:Y |
QCAS / 46 / 5 / 521 |
Teaching strategy and policy using the Baldrige Award criteria |
343:Y |
QCAS / 46 / 5 / 523 |
Measuring customer satisfaction: Why, what and how |
350:Y |
QCAS / 46 / 5 / 525 |
An empirically derived model of the role of IS networks in business process improvement initiatives |
420:Y |
QCAS / 46 / 5 / 535 |
Three approaches to analyze quality data originating in non-normal populations |
510:Y |
QCAS / 46 / 5 / 547 |
Practical small-sample asymptotics for distributions used in life-data analysis |
512:Y |
QCAS / 46 / 5 / 551 |
Using ranges to estimate variability |
515:Y |
QCAS / 46 / 5 / 555 |
Quality improvement through design of experiments: A case study |
520:Y |
QCAS / 46 / 5 / 559 |
Analysis of a difficult factorial designed experiment from polyurethane product research |
524:Y |
QCAS / 46 / 5 / 563 |
The use of response surface designs in the selection of optimum tolerance allocation |
525:Y |
QCAS / 46 / 5 / 567 |
Phase I analysis for autocorrelated processes |
529:Y |
QCAS / 46 / 5 / 569 |
Supercharging your Pareto analysis |
531:Y |
QCAS / 46 / 5 / 573 |
Asymmetric confidence bands for simple linear regression over bounded intervals |
540:Y |
QCAS / 46 / 5 / 575 |
The universal safeness of test allocation strategies for partition testing |
730:Y |
QCAS / 46 / 5 / 583 |
Improved inspection schemes for deteriorating equipment |
810:Y |
QCAS / 46 / 5 / 585 |
Evaluating complex system reliability using reliability block diagram simulation when little or no failure data are available |
820:Y |
QCAS / 46 / 5 / 587 |
On the value of an item subject to general repair or maintenance |
840:Y |
QCAS / 46 / 5 / 589 |
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 |
Economic-statistical design of X̄ charts for non-normal data by considering quality loss |
111:Y |
QCAS / 46 / 4 / 365 |
CUSUM control charts with variable sample sizes and sampling intervals |
111:Y |
QCAS / 46 / 4 / 371 |
Developing control charts and illustrating Type I and Type II errors |
112:Y |
QCAS / 46 / 4 / 375 |
Comparison of three multivariate process capability indices |
120:Y |
QCAS / 46 / 4 / 379 |
Estimation of the change point of a normal process mean in SPC applications |
130:Y |
QCAS / 46 / 4 / 383 |
Controversies and contradictions in statistical process control |
190:Y |
QCAS / 46 / 4 / 387 |
Stratification by size revisited |
210:Y |
QCAS / 46 / 4 / 389 |
Sequential selection of an increasing sequence from a multidimensional random sample |
210:Y |
QCAS / 46 / 4 / 391 |
Design of a CSP-1 plan based on regret-balanced criterion |
220:Y |
QCAS / 46 / 4 / 393 |
The level-based stratified sampling plan |
220:Y |
QCAS / 46 / 4 / 397 |
Minimax strategies in survey sampling |
230:Y |
QCAS / 46 / 4 / 399 |
Sample size calculations for failure time random variables in non-randomized studies |
240:Y |
QCAS / 46 / 4 / 401 |
Business excellence through customer satisfaction |
313:Y |
QCAS / 46 / 4 / 403 |
Optimization impossible? |
323:Y |
QCAS / 46 / 4 / 411 |
Behind the learning curve: Linking learning activities to waste reduction |
330:Y |
QCAS / 46 / 4 / 413 |
ISO 9000: What is its impact on performance? |
342:Y |
QCAS / 46 / 4 / 419 |
A detailed trends analysis of national quality awards world-wide |
343:Y |
QCAS / 46 / 4 / 421 |
Information, contracting and quality costs |
359:Y |
QCAS / 46 / 4 / 425 |
Should the median test be retired from general use? |
510:Y |
QCAS / 46 / 4 / 433 |
A simulation comparison of several procedures for testing the Poisson assumption |
511:Y |
QCAS / 46 / 4 / 435 |
Bayes prediction in a Pareto life time model with random sample size |
512:Y |
QCAS / 46 / 4 / 439 |
Some new two-level saturated designs |
520:Y |
QCAS / 46 / 4 / 443 |
Planning data configuration for statistical analysis |
521:Y |
QCAS / 46 / 4 / 447 |
Analyzing the censored life data arising in fractional factorial designs: Spin-on-fiber case study |
524:Y |
QCAS / 46 / 4 / 449 |
Six Sigma, e-commerce post new challenges |
650:Y |
QCAS / 46 / 4 / 455 |
Quantifying product appearance |
710:Y |
QCAS / 46 / 4 / 463 |
Statistical analysis of Weibull distributed lifetime data under Type II progressive censoring with binomial removals |
820:Y |
QCAS / 46 / 4 / 467 |
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 |
A graphical method for checking attribute control chart assumptions |
112:Y |
QCAS / 46 / 3 / 249 |
Modified tightened two-level continuous sampling plans |
210:Y |
QCAS / 46 / 3 / 255 |
Survey sampling theory over the twentieth century and its relation to computing technology |
210:Y |
QCAS / 46 / 3 / 257 |
Combined continuous lot by lot acceptance sampling plan |
210:Y |
QCAS / 46 / 3 / 261 |
Subsampling callbacks to improve survey efficiency |
230:Y |
QCAS / 46 / 3 / 265 |
Sample size calculations for failure time random variables in nonrandomized studies |
240:Y |
QCAS / 46 / 3 / 267 |
Bayes prediction in a Pareto lifetime model with random sample size |
290:Y |
QCAS / 46 / 3 / 271 |
East meets west: Weaving the threads of Deming, da Vinci and the Tao Te Ching |
311:Y |
QCAS / 46 / 3 / 277 |
The naked truth about business excellence |
319:Y |
QCAS / 46 / 3 / 279 |
Effect and choice of the weighting scale in QFD |
323:Y |
QCAS / 46 / 3 / 281 |
Benchmarking quality management practices: US versus Costa Rica |
324:Y |
QCAS / 46 / 3 / 287 |
Effects of supplier reliability and benevolence in business marketing |
350:Y |
QCAS / 46 / 3 / 297 |
Integrating supplier satisfaction with customer satisfaction |
350:Y |
QCAS / 46 / 3 / 301 |
Emerging countries and business excellence |
390:Y |
QCAS / 46 / 3 / 303 |
Quality: On the threshold or the brink? |
410:Y |
QCAS / 46 / 3 / 305 |
Six Sigma, process drift, capability indices and feedback adjustment |
430:Y |
QCAS / 46 / 3 / 307 |