| A discussion of strategies for Six Sigma implementation |
430:Y |
QCAS / 46 / 3 / 309 |
| Data mining for fun and profit |
510:Y |
QCAS / 46 / 3 / 311 |
| Use of mathematical programming in the analysis of constrained and unconstrained industrial experiments |
520:Y |
QCAS / 46 / 3 / 315 |
| Experimental sequence: A decision theory |
521:Y |
QCAS / 46 / 3 / 319 |
| Sequential experimentation using two-level fractional factorials |
524:Y |
QCAS / 46 / 3 / 321 |
| A class of three-level experimental designs for response surface modeling |
525:Y |
QCAS / 46 / 3 / 325 |
| Comparisons of exponential life test plans with intermittent inspections |
820:Y |
QCAS / 46 / 3 / 341 |
| Optimal reliability allocation with discrete cost-reliability data for components |
820:Y |
QCAS / 46 / 3 / 347 |
| An analysis of factors affecting software reliability |
850:Y |
QCAS / 46 / 3 / 349 |
| Statistical process control in the presence of large measurement variation |
100:Y |
QCAS / 46 / 2 / 121 |
| Statistical process control using two measurement systems |
100:Y |
QCAS / 46 / 2 / 125 |
| Influence of the sampling interval, decision limit and autocorrelation on the average run length in CUSUM charts |
100:Y |
QCAS / 46 / 2 / 129 |
| CUSUM charts for preliminary analysis of individual observations |
111:Y |
QCAS / 46 / 2 / 133 |
| Monitoring processes with highly censored data |
120:Y |
QCAS / 46 / 2 / 139 |
| Demonstrating Deming’s kp rule using an economic model of the CSP-1 |
210:Y |
QCAS / 46 / 2 / 141 |
| A new look at confidence intervals in survey sampling |
230:Y |
QCAS / 46 / 2 / 145 |
| Estimating the unknown sample size |
240:Y |
QCAS / 46 / 2 / 149 |
| Sample size requirements to test the equality of raters’ precision |
240:Y |
QCAS / 46 / 2 / 153 |
| Quality managers and the successful management of quality: An insight |
311:Y |
QCAS / 46 / 2 / 159 |
| Quality management hits the road |
311:Y |
QCAS / 46 / 2 / 163 |
| Quality myths and legends |
319:Y |
QCAS / 46 / 2 / 167 |
| The evolution of Six Sigma |
319:Y |
QCAS / 46 / 2 / 169 |
| Effect and choice of the weighting scale in QFD |
323:Y |
QCAS / 46 / 2 / 171 |
| Organizational and quality systems development: An analysis via a dynamic simulation model |
329:Y |
QCAS / 46 / 2 / 175 |
| The Tao of people-based management |
330:Y |
QCAS / 46 / 2 / 177 |
| A comparative analysis of national and regional quality awards |
343:Y |
QCAS / 46 / 2 / 181 |
| Implementation of quality programs in developing countries: A Fiji Islands case study |
410:Y |
QCAS / 46 / 2 / 183 |
| Evaluating the effectiveness of the New Zealand Academic Audit Unit: Review and outcomes |
430:Y |
QCAS / 46 / 2 / 187 |
| Large data series: Modeling the usual to identify the unusual |
510:Y |
QCAS / 46 / 2 / 189 |
| Sequential estimation of the guarantee times for systems of several exponential components |
512:Y |
QCAS / 46 / 2 / 193 |
| Estimating the process standard deviation based on Downton’s Estimator |
515:Y |
QCAS / 46 / 2 / 197 |
| 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 |
