Performance evaluation of dynamic monitoring systems: The waterfall chart |
110:Y |
361 |
The reverse moving average control chart for monitoring autocorrelated processes |
110:Y |
365 |
The generally weighted moving average control chart for detecting small shifts in the process mean |
110:Y |
369 |
A control chart method for ordinal data |
111:Y |
375 |
Optimum mean location in a poor-capability process |
120:Y |
377 |
Process capability analysis of a product family of larger-the-better |
120:Y |
379 |
An empirical indicator of product appearance for process control |
190:Y |
381 |
Context-based statistical process control: A monitoring procedure for state-dependent processes |
190:Y |
383 |
Finding optimal estimators in survey sampling using unbiased estimators of zero |
210:Y |
387 |
Optimal sampling design under a spatial correlation model |
210:Y |
391 |
Two-phase list-assisted RDD sampling |
210:Y |
395 |
A new business excellence model from an old Indian philosophy |
310:Y |
401 |
The primary drivers for continuous improvement: The reduction of the triad of waste |
310:Y |
403 |
A process for the deployment of corporate quality objectives |
321:Y |
407 |
Assessing workforce perception of total quality-based performance measurement: A case study of a customer equipment servicing organization |
334:Y |
409 |
ISO 9000: Some statistical results for a worldwide phenomenon |
342:Y |
411 |
Effects of ISO 9000 certification on firms’ performance: A vision from the market |
342:Y |
413 |
Levels of quality management in certified firms |
342:Y |
415 |
The influence of total quality service age on quality and operational performance |
410:A |
417 |
Can TQM lift a sinking ship? A case study |
410:Y |
421 |
The sustainability and evolution of quality improvement programs – an Australian case study |
410:B |
423 |
Reengineering of the laundry service at a university campus: A continuous-improvement quality-management methodology |
420:Y |
427 |
Quality improvement by reducing variation: A case study |
430:Y |
429 |
Management tools for SMEs |
430:Y |
431 |
Vicarious learning, undersampling of failure, and the myths of management |
490:A |
433 |
A low performance-low quality trip in the non-profit healthcare sector in Turkey and a solution |
490:B |
437 |
Running up the down escalator: Stressors and strains in UK academics |
490:T |
439 |
Testing for outliers from a mixture distribution when some data are missing |
514:Y |
443 |
Selecting 2m-p designs using a minimum aberration criterion when some two-factor interations are important m-p is superscript |
520:Y |
447 |
Recognition and importance of restrictions on randomization in industrial experimentation |
520:Y |
451 |
Non-parametric estimation of distance between groups |
551:Y |
453 |
Managing homo sapiens |
630:Y |
457 |
A student-centered conceptual model of service quality in higher education |
670:Y |
459 |
Environmental uncertainty, strategic orientation and quality management: A contingency model |
690:Y |
461 |
Product robust design and process robust design: Are they the same? (No.) |
690:Y |
463 |
A conceptual framework for total quality management in software organizations |
690:Y |
465 |
An object-oriented approach to risk and reliability analysis: Methodology and aviation safety applications |
820:Z |
467 |
Determinants of software quality: Customer’s perspective |
850:Y |
469 |