Documents disponibles écrits par cet auteur

Quality improvement through satatistical methods / Bovas Abraham

Public ISBD Titre : Quality improvement through satatistical methods Type de document : texte imprimé Auteurs : Bovas Abraham, Editeur scientifique Editeur : Boston, Basel, Berlin : Birkhäuser Année de publication : 1998 Importance : 442 p. Présentation : couv. ill. en coul., ill. Format : 26,2 cm. ISBN/ISSN/EAN : 978-0-8176-4052-1 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Applied Statistics Quality Control Engineering approximation control engineering function optimization statistics Index. décimale : 25-02 Théorie et traitement du signal Résumé : 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 meth­ 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 ex­ 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. Note de contenu : Table of contents Part 1:Statistics and Quality 1.Scientific Learning 2.Industrial Statistics and Innovation 3.Understanding QS-9000 With Its Preventive and Statistical Focus 4.A Conceptual Framework for Variation Reduction 5.The Role of Academic Statisticians in Quality Improvement Strategies of Small and Medium Sized Companies Part 2:Statistical Process Control 6. Developing Optimal Regulation and Monitoring Strategies to Control a Continuous Petrochemical Process 7. Capability Indices When Tolerances Are Asymmetric 8. Robustness of On-line Control Procedures 9. An Application of Filtering to Statistical Process Control 10. Statistical Process Control and Its Applications in Korean Industries 11. Multivariate Statistical Process Control of a Mineral Processing Industry 12. Developing Objective Strategies for Monitoring Multi Input/Single Output Chemical Process 13. Properties of the Cpm Index for Seemingly Unstable Production Processes 14. Process Capability Indices for Contaminated Bivariate Normal Populations 15. Quality Improvements by Likelihood Ratio Methods for Surveillance 16. Properties of the Taguchi Capability Index for Markov Dependent Quality Characteristics Part 3:Design and Analysis of Experiments 17. Fast Model Search for Designed Experiments with Complex Aliasing 18. Optimal 12 Run Designs 19. Robustness of D-optimal Experimental Designs for Mixture Studies 20. A Bivariate Plot Useful in Selecting a Robust Design 21. Process Optimization Through Designed Experiments: Two Case Studies 22. Technological Aspects of TQM 23. On Robust Design for Multiple Quality Characteristics 24. Simultaneous Optimization of Multiple Responses Using a Weighted Desirability Function 25. Evaluating Statistical Methods Practiced in Two Important Areas of Quality Improvement Part 4:Statistical Methods for Reliability 26. Applications of Generalized Linear Models in Reliability Studies for Composite Materials 27. Bivariate Failure Rates in Discrete Time 28. A General Approach of Studying Random Environmental Models 29. Testing for Change Points Expressed in Terms of the Mean Residual Life Function 30. Empirical Bayes Procedures For Testing The Quality and Reliability With Respect To Mean Life 31. On a Test of Independence in a Multivariate Exponential Distribution Part 5:Statistical Methods for Quality Improvement 32. Random Walk Approximation of Confidence Intervals 33. A Study of Quality Costs in a Multi Component and Low Volume Products Automated Manufacturing System 34. Estimating Dose Response Curves 35. On the Quality of Preterm Infants Formula and the Longitudinal Change in Mineral Contents in Human Milk Quality improvement through satatistical methods [texte imprimé] / Bovas Abraham, Editeur scientifique . - Boston, Basel, Berlin : Birkhäuser, 1998 . - 442 p. : couv. ill. en coul., ill. ; 26,2 cm. ISBN : 978-0-8176-4052-1 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Applied Statistics Quality Control Engineering approximation control engineering function optimization statistics Index. décimale : 25-02 Théorie et traitement du signal Résumé : 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 meth­ 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 ex­ 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. Note de contenu : Table of contents Part 1:Statistics and Quality 1.Scientific Learning 2.Industrial Statistics and Innovation 3.Understanding QS-9000 With Its Preventive and Statistical Focus 4.A Conceptual Framework for Variation Reduction 5.The Role of Academic Statisticians in Quality Improvement Strategies of Small and Medium Sized Companies Part 2:Statistical Process Control 6. Developing Optimal Regulation and Monitoring Strategies to Control a Continuous Petrochemical Process 7. Capability Indices When Tolerances Are Asymmetric 8. Robustness of On-line Control Procedures 9. An Application of Filtering to Statistical Process Control 10. Statistical Process Control and Its Applications in Korean Industries 11. Multivariate Statistical Process Control of a Mineral Processing Industry 12. Developing Objective Strategies for Monitoring Multi Input/Single Output Chemical Process 13. Properties of the Cpm Index for Seemingly Unstable Production Processes 14. Process Capability Indices for Contaminated Bivariate Normal Populations 15. Quality Improvements by Likelihood Ratio Methods for Surveillance 16. Properties of the Taguchi Capability Index for Markov Dependent Quality Characteristics Part 3:Design and Analysis of Experiments 17. Fast Model Search for Designed Experiments with Complex Aliasing 18. Optimal 12 Run Designs 19. Robustness of D-optimal Experimental Designs for Mixture Studies 20. A Bivariate Plot Useful in Selecting a Robust Design 21. Process Optimization Through Designed Experiments: Two Case Studies 22. Technological Aspects of TQM 23. On Robust Design for Multiple Quality Characteristics 24. Simultaneous Optimization of Multiple Responses Using a Weighted Desirability Function 25. Evaluating Statistical Methods Practiced in Two Important Areas of Quality Improvement Part 4:Statistical Methods for Reliability 26. Applications of Generalized Linear Models in Reliability Studies for Composite Materials 27. Bivariate Failure Rates in Discrete Time 28. A General Approach of Studying Random Environmental Models 29. Testing for Change Points Expressed in Terms of the Mean Residual Life Function 30. Empirical Bayes Procedures For Testing The Quality and Reliability With Respect To Mean Life 31. On a Test of Independence in a Multivariate Exponential Distribution Part 5:Statistical Methods for Quality Improvement 32. Random Walk Approximation of Confidence Intervals 33. A Study of Quality Costs in a Multi Component and Low Volume Products Automated Manufacturing System 34. Estimating Dose Response Curves 35. On the Quality of Preterm Infants Formula and the Longitudinal Change in Mineral Contents in Human Milk

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
1675	25-02-56	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	1675