| Putting Taguchi methods to work to solve design flaws |
520:Y |
QCAS / 46 / 2 / 199 |
| Experimental sequence: A decision strategy |
520:Y |
QCAS / 46 / 2 / 201 |
| Retail-data quality: Evidence, causes, costs and fixes |
640:Y |
QCAS / 46 / 2 / 207 |
| An intelligent approach to integration and control of textile processes |
720:Y |
QCAS / 46 / 2 / 219 |
| Optimal policies under risk for changing software systems based on customer satisfaction |
730:Y |
QCAS / 46 / 2 / 221 |
| Charting service quality gaps |
740:Y |
QCAS / 46 / 2 / 223 |
| Optimal repair of a series system with fixed repair times |
820:Y |
QCAS / 46 / 2 / 225 |
| A Bayesian/classical approach to reliability demonstration |
820:Y |
QCAS / 46 / 2 / 227 |
| Shift detection properties of moving centerline control chart schemes |
110:Y |
QCAS / 46 / 1 / 13 |
| A nonparametric control chart for a symmetric process: A Markovian approach |
110:Y |
QCAS / 46 / 1 / 15 |
| Target allocation for maximizing wear allowance of running fits based on process capability |
120:Y |
QCAS / 46 / 1 / 17 |
| Some alternative strategies to Moors’ model in randomized response sampling |
210:Y |
QCAS / 46 / 1 / 21 |
| Importance sampling for families of distributions |
210:Y |
QCAS / 46 / 1 / 25 |
| Generalized tightened two-level continuous sampling plans |
220:Y |
QCAS / 46 / 1 / 31 |
| Determination of variable lot size attribute sampling plan indexed by the acceptable quality level and average outgoing quality level for continuous production |
220:Y |
QCAS / 46 / 1 / 33 |
| Cumulating/combining population surveys |
230:Y |
QCAS / 46 / 1 / 35 |
| Bayesian sample size determination for estimating binomial parameters from data subject to misclassification |
240:Y |
QCAS / 46 / 1 / 37 |
| A discussion of strategies for Six Sigma implementation |
311:Y |
QCAS / 46 / 1 / 39 |
| The role of scientific method in quality management |
311:Y |
QCAS / 46 / 1 / 43 |
| The effective design of work under total quality management |
330:Y |
QCAS / 46 / 1 / 53 |
| Integration of value analysis and total quality management: The way ahead in the next millennium |
390:Y |
QCAS / 46 / 1 / 61 |
| Integration of value analysis and total quality management: The way ahead in the next millennium |
390:Y |
QCAS / 46 / 1 / 63 |
| The influence of organizational structure on the effectiveness of TQM programs |
410:Y |
QCAS / 46 / 1 / 71 |
| Testing statistical hypotheses with vague data |
511:Y |
QCAS / 46 / 1 / 73 |
| Managing organizational data resources: Quality dimensions |
519:Y |
QCAS / 46 / 1 / 75 |
| Considerations associated with restrictions on randomization in industrial experimentation |
522:Y |
QCAS / 46 / 1 / 77 |
| Sequential experimentation using two-level fractional factorials |
524:Y |
QCAS / 46 / 1 / 81 |
| A hierarchical framework for a quality information system |
650:Y |
QCAS / 46 / 1 / 89 |
| Electronic brainstorming: The illusion of productivity |
740:Y |
QCAS / 46 / 1 / 105 |
| A highly efficient Monte Carlo method for assessment of system reliability based on a Markov model |
820:Y |
QCAS / 46 / 1 / 109 |
| A Bayesian/classical approach to reliability demonstration |
830:Y |
QCAS / 46 / 1 / 113 |
| Research issues and ideas in statistical process control |
100:Y |
QCAS / 45 / 6 / 603 |
| Toward the implementation of a universal control chart and estimation of its average run length using a spreadsheet |
110:Y |
QCAS / 45 / 6 / 607 |
| Control limits for group charts |
110:Y |
QCAS / 45 / 6 / 609 |
| Run sum charts for X̄ and R |
111:Y |
QCAS / 45 / 6 / 611 |
| A p chart for monitoring capability using sensitivity data |
120:Y |
QCAS / 45 / 6 / 615 |
| Joint monitoring of PID-controlled processes |
130:Y |
QCAS / 45 / 6 / 619 |
| Process tolerance limits |
130:Y |
QCAS / 45 / 6 / 625 |
| Procedures for the selection of CSP-M one-level skip-lot sampling inspection plans that have a single-sampling plan with acceptance number zero as the reference plan |
220:Y |
QCAS / 45 / 6 / 629 |
| Administrative records and census taking |
230:Y |
QCAS / 45 / 6 / 633 |
| The evolution of Six Sigma |
311:Y |
QCAS / 45 / 6 / 637 |
| Fuzzy multicriteria models for quality function deployment |
323:Y |
QCAS / 45 / 6 / 641 |
| Attitudes toward cross-functional quality project groups: Net utility and procedural justice |
332:Y |
QCAS / 45 / 6 / 643 |
| Troubleshooting your activities for excellence |
410:Y |
QCAS / 45 / 6 / 659 |
| The economics of yield-driven processes |
440:Y |
QCAS / 45 / 6 / 661 |
| Managing data quality in a statistical agency |
510:Y |
QCAS / 45 / 6 / 665 |
| Assessing risk for rare events |
519:Y |
QCAS / 45 / 6 / 669 |
| Multilevel splitting for estimating rare event probabilities |
519:Y |
QCAS / 45 / 6 / 673 |
| Specification limit under a quality loss function |
520:Y |
QCAS / 45 / 6 / 681 |
| Using the Taguchi loss function to reduce common-cause variation |
520:Y |
QCAS / 45 / 6 / 683 |
| Experimental design for product and process design and development |
520:Y |
QCAS / 45 / 6 / 687 |
| Finite-sample performance of alternative estimators for autoregressive models in the presence of outliers |
544:Y |
QCAS / 45 / 6 / 691 |
| The quality double whammy |
640:Y |
QCAS / 45 / 6 / 693 |
| A year in the life of a consumer product: As heard in cyberspace |
640:Y |
QCAS / 45 / 6 / 695 |
| Test set size minimization and fault detection effectiveness: A case study in a space application |
730:Y |
QCAS / 45 / 6 / 701 |
| Analysis of incomplete data in presence of competing risks |
820:Y |
QCAS / 45 / 6 / 703 |
| Bayesian computation for the superposition of nonhomogeneous Poisson processes |
850:Y |
QCAS / 45 / 6 / 705 |
| A synthetic control chart for detecting small shifts in the process mean |
110:Y |
QCAS / 45 / 5 / 483 |
| Fast initial response in a CUSUM mask scheme |
110:Y |
QCAS / 45 / 5 / 487 |
| Performance of control charts for autoregressive conditional heteroscedastic processes |
110:Y |
QCAS / 45 / 5 / 491 |
| Joint X̄ and R charts with variable sample sizes and sampling intervals |
111:Y |
QCAS / 45 / 5 / 495 |
| X̄ charts with variable parameters |
111:Y |
QCAS / 45 / 5 / 499 |
| A capability index for multiple process streams |
120:Y |
QCAS / 45 / 5 / 503 |
| An SPC case study on stabilizing syringe lengths |
130:Y |
QCAS / 45 / 5 / 509 |
| The Deming cycle provides a framework for managing environmentally responsible process improvements |
321:Y |
QCAS / 45 / 5 / 513 |
| Optimization tools for design and marketing of new/improved products using the house of quality |
323:Y |
QCAS / 45 / 5 / 515 |
| It’s all about improving performance |
332:Y |
QCAS / 45 / 5 / 519 |
| Quality management: A comparison of cultural differences |
333:Y |
QCAS / 45 / 5 / 521 |
| It is not what you achieve, it is the way you achieve it |
342:Y |
QCAS / 45 / 5 / 523 |
| Revisiting the stock price impact of quality awards |
343:Y |
QCAS / 45 / 5 / 527 |
| Managing the managers: Japanese management strategies in the USA |
410:Y |
QCAS / 45 / 5 / 537 |
| Continuous quality improvement tools at work: Case studies at the University of Cincinnati |
430:Y |
QCAS / 45 / 5 / 539 |
| A comparison of multiresponse optimization: Sensitivity to parameter selection |
510:Y |
QCAS / 45 / 5 / 545 |
| An application of multivariate analysis in product development in the food industry |
510:Y |
QCAS / 45 / 5 / 549 |
| Practical approach to interval estimation for the Weibull mean lifetime |
511:Y |
QCAS / 45 / 5 / 553 |
| Relationships among sample size, model selection and likelihood regions, and scientifically important differences |
512:Y |
QCAS / 45 / 5 / 555 |
| A messy, but instructive, case study in design of experiments |
513:Y |
QCAS / 45 / 5 / 559 |
| The effect of power sensor variation and measurement error on the uncertainty of the mismatch term of power sensor calibration factors |
519:Y |
QCAS / 45 / 5 / 561 |
| Considerations associated with restrictions on randomization in industrial experimentation |
520:Y |
QCAS / 45 / 5 / 567 |
| Optimization of Arc-PVD TiN coating process parameters by Taguchi technique |
520:Y |
QCAS / 45 / 5 / 569 |
