Choosing a lower specification limit for an exponential process with ‘the larger the better’ tolerance: A simple, exact solution |
110:Y |
481 |

A new SPC monitoring method: The ARMA chart |
111:Y |
485 |

Two alternatives to the Shewhart X̄ control chart |
111:Y |
489 |

A demerits control chart for autocorrelated data |
112:Y |
491 |

Control charts and feedback adjustments for a jump disturbance model |
119:Y |
495 |

Determination of the optimal process mean with the consideration of variance reduction and process capability |
120:Y |
499 |

Understanding the hierarchy of process control |
190:Y |
503 |

Using order statistics to assess the sampling variability of personnel selection utility estimates |
210:Y |
505 |

Clinical trials and sample size considerations: Another perspective |
240:Y |
507 |

Drive out fear (unless you can drive it in): The role of agency and job security in process improvement |
311:A |
511 |

Too much or too little ambiguity: The language of total quality management |
311:Y |
513 |

Obstacles to implementing quality |
319:Y |
515 |

Checklists: A perfect tool to tune up your quality manual |
320:Y |
517 |

Integrating Kano’s model in the planning matrix of quality function deployment |
323:Y |
519 |

Improvement in organizational performance and self-assessment practices by selected American firms |
329:Y |
521 |

Teaching strategy and policy using the Baldrige Award criteria |
343:Y |
523 |

Measuring customer satisfaction: Why, what and how |
350:Y |
525 |

The need for the introduction of quality management into Greek health care |
410:B |
527 |

Tire failures, SUV rollovers put quality on trial |
410:M |
529 |

When success turns into failure: A package driven business process re-engineering project in the financial services industry |
420:S |
533 |

An empirically derived model of the role of IS networks in business process improvement initiatives |
420:Y |
535 |

Markov chain approach to failure cost estimation in batch manufacturing |
440:M |
537 |

The cost of quality in Internet-style networks |
440:S |
541 |

An empirical study on quality management practices in Shanghai manufacturing industries |
490:M |
543 |

Three approaches to analyze quality data originating in non-normal populations |
510:Y |
547 |

Practical small-sample asymptotics for distributions used in life-data analysis |
512:Y |
551 |

Using ranges to estimate variability |
515:Y |
555 |

Quality improvement through design of experiments: A case study |
520:Y |
559 |

Analysis of a difficult factorial designed experiment from polyurethane product research |
524:Y |
563 |

The use of response surface designs in the selection of optimum tolerance allocation |
525:Y |
567 |

Phase I analysis for autocorrelated processes |
529:Y |
569 |

Supercharging your Pareto analysis |
531:Y |
573 |

Asymmetric confidence bands for simple linear regression over bounded intervals |
540:Y |
575 |

Tolerancing mechanical assemblies with CAD and DOE |
660:M |
579 |

The universal safeness of test allocation strategies for partition testing |
730:Y |
583 |

Improved inspection schemes for deteriorating equipment |
810:Y |
585 |

Evaluating complex system reliability using reliability block diagram simulation when little or no failure data are available |
820:Y |
587 |

On the value of an item subject to general repair or maintenance |
840:Y |
589 |

The assessment of software quality from the user perspective: Evaluation of a GIS implementation |
850:T |
591 |