This text is highly recommended for managers and serious students of quality. Major US companies issue this reference and training manual to all managers during their quality training. This volume is also very valuable as a stand-alone reference on using statistics with a business and quality perspe
Quality Improvement Through Statistical Methods
β Scribed by George E. P. Box (auth.), Bovas Abraham (eds.)
- Publisher
- BirkhΓ€user Basel
- Year
- 1998
- Tongue
- English
- Leaves
- 449
- Series
- Statistics for Industry and Technology
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is based on the papers presented at the International Conference 'Quality Improvement through Statistical Methods' in Cochin, India during December 28-31, 1996. The Conference was hosted by the Cochin University of Science and Technology, Cochin, India; and sponsored by the Institute for Improvement in Quality and Productivity (IIQP) at the University of Waterloo, Canada, the Statistics in Industry Committee of the International Statistical Institute (lSI) and by the Indian Statistical Institute. There has been an increased interest in Quality Improvement (QI) activities in many organizations during the last several years since the airing of the NBC television program, "If Japan can ... why can't we?" Implementation of QI methΒ ods requires statistical thinking and the utilization of statistical tools, thus there has been a renewed interest in statistical methods applicable to industry and technology. This revitalized enthusiasm has created worldwide discussions on Industrial Statistics Research and QI ideas at several international conferences in recent years. The purpose of this conference was to provide a forum for presenting and exΒ changing ideas in Statistical Methods and for enhancing the transference of such technologies to quality improvement efforts in various sectors. It also provided an opportunity for interaction between industrial practitioners and academia. It was intended that the exchange of experiences and ideas would foster new international collaborations in research and other technology transfers.
β¦ Table of Contents
Front Matter....Pages i-xxxiii
Front Matter....Pages 1-1
Scientific Learning....Pages 3-12
Industrial Statistics and Innovation....Pages 13-21
Understanding QS-9000 With Its Preventive and Statistical Focus....Pages 23-33
A Conceptual Framework for Variation Reduction....Pages 35-44
The Role of Academic Statisticians in Quality Improvement Strategies of Small and Medium Sized Companies....Pages 45-58
Front Matter....Pages 59-59
Developing Optimal Regulation and Monitoring Strategies to Control a Continuous Petrochemical Process....Pages 61-77
Capability Indices When Tolerances Are Asymmetric....Pages 79-95
Robustness of On-line Control Procedures....Pages 97-108
An Application of Filtering to Statistical Process Control....Pages 109-120
Statistical Process Control and Its Applications in Korean Industries....Pages 121-133
Multivariate Statistical Process Control of a Mineral Processing Industry....Pages 135-149
Developing Objective Strategies for Monitoring Multi Input/Single Output Chemical Process....Pages 151-162
Properties of the C pm Index for Seemingly Unstable Production Processes....Pages 163-172
Process Capability Indices for Contaminated Bivariate Normal Populations....Pages 173-186
Quality Improvements by Likelihood Ratio Methods for Surveillance....Pages 187-193
Properties of the Taguchi Capability Index for Markov Dependent Quality Characteristics....Pages 195-203
Front Matter....Pages 205-205
Fast Model Search for Designed Experiments with Complex Aliasing....Pages 207-220
Optimal 12 Run Designs....Pages 221-235
Robustness of D-optimal Experimental Designs for Mixture Studies....Pages 237-247
A Bivariate Plot Useful in Selecting a Robust Design....Pages 249-262
Front Matter....Pages 205-205
Process Optimization Through Designed Experiments: Two Case Studies....Pages 263-274
Technological Aspects of TQM....Pages 275-287
On Robust Design for Multiple Quality Characteristics....Pages 289-297
Simultaneous Optimization of Multiple Responses Using a Weighted Desirability Function....Pages 299-311
Evaluating Statistical Methods Practiced in Two Important Areas of Quality Improvement....Pages 313-324
Front Matter....Pages 325-325
Applications of Generalized Linear Models in Reliability Studies for Composite Materials....Pages 327-337
Bivariate Failure Rates in Discrete Time....Pages 339-350
A General Approach of Studying Random Environmental Models....Pages 351-362
Testing for Change Points Expressed in Terms of the Mean Residual Life Function....Pages 363-369
Empirical Bayes Procedures For Testing The Quality and Reliability With Respect To Mean Life....Pages 371-379
On a Test of Independence in a Multivariate Exponential Distribution....Pages 381-389
Front Matter....Pages 391-391
Random Walk Approximation of Confidence Intervals....Pages 393-404
A Study of Quality Costs in a Multi Component and Low Volume Products Automated Manufacturing System....Pages 405-413
Estimating Dose Response Curves....Pages 415-422
On the Quality of Preterm Infants Formula and the Longitudinal Change in Mineral Contents in Human Milk....Pages 423-437
Back Matter....Pages 439-442
β¦ Subjects
Applications of Mathematics; Operations Research, Management Science; Game Theory, Economics, Social and Behav. Sciences
π SIMILAR VOLUMES
<b>Praise for the <i>Second Edition</i></b><p><p> "As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."<br><i>β<b>Technometrics</b></i><p><b>This new edition continues to provide the most current, proven statistical methods for quali
<span>Quality is a discipline that focuses on product and service excellence. This book is about improving the quality of products and services. The improved quality and reliability lead to higher perceived value and increased market share for a company, thereby increasing revenue and profitability.
Praise for the Second Edition"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."βTechnometricsThis new edition continues to provide the most current, proven statistical methods for quality control and quality improvementThe use of
<p>This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge