| Titre : | Statistical Quality Control : a modern introduction | | Type de document : | texte imprimé | | Auteurs : | Douglas C. Montgomery, Auteur | | Mention d'édition : | 6 th. ed. | | Editeur : | River Street, Hoboken : John Wiley | | Année de publication : | 2009 | | ISBN/ISSN/EAN : | 978-0-470-23397-9 | | Langues : | Anglais (eng) | | Catégories : | AUTOMATISME
| | Index. décimale : | 25-07 Théorie de la commande: commandes des processus | | Résumé : | The trusted guide to the statistical methods for quality control.
Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement.
With this text, you′ll learn how to apply state–of–the–art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques.
You′ll appreciate the significant updates in the Sixth Edition including:
∗ In–depth attention to DMAIC, the problem–solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects.
∗ New examples that illustrate applications of statistical quality improvement techniques in non–manufacturing settings. Many examples and exercises are based on real data.
∗ New developments in the area of measurement systems analysis
∗ New features of Minitab V15 incorporated into the text
∗ Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material | | Note de contenu : | Contents
Part I: Introduction ·
Chapter 1:Modern Quality Management and Improvement ·
Chapter 2: The DMAIC Problem solving process
Part II: Statistical Methods Useful in Quality Control and Improvement ·
Chapter 3: Statistical Models or Quality Control and Improvement ·
Chapter 4: Statistical Inferences in Quality Control and Improvement
Part III: Basic Methods of Statistical Process Control and Capability Analysis
Chapter 5: How SPC Works ·
Chapter 6: Variables Control Charts
Chapter 7: Attributes Control Charts ·
Chapter 8: Determining Process and Measurement System Capability
Part IV: Other Statistical Process-Monitoring and Control Techniques
Chapter 9: Time-Weighted Control Charts ·
Chapter 10: Advanced Control Charting Techniques ·
Chapter 11: Multivariate SPC
Chapter 12: Process Adjustment and Process monotoring
Part V: Process Design and Improvement with Designed Experiments
Chapter 13: Basic Experimental Design for Process Improvements
Chapter 14: Process Optimization
Part VI: Acceptance Sampling ·
Chapter 15: Basic Acceptance Sampling Procedures
Chapter 16: Additional Sampling Procedures
Appendix |
Statistical Quality Control : a modern introduction [texte imprimé] / Douglas C. Montgomery, Auteur . - 6 th. ed. . - River Street, Hoboken : John Wiley, 2009. ISBN : 978-0-470-23397-9 Langues : Anglais ( eng) | Catégories : | AUTOMATISME
| | Index. décimale : | 25-07 Théorie de la commande: commandes des processus | | Résumé : | The trusted guide to the statistical methods for quality control.
Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement.
With this text, you′ll learn how to apply state–of–the–art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques.
You′ll appreciate the significant updates in the Sixth Edition including:
∗ In–depth attention to DMAIC, the problem–solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects.
∗ New examples that illustrate applications of statistical quality improvement techniques in non–manufacturing settings. Many examples and exercises are based on real data.
∗ New developments in the area of measurement systems analysis
∗ New features of Minitab V15 incorporated into the text
∗ Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material | | Note de contenu : | Contents
Part I: Introduction ·
Chapter 1:Modern Quality Management and Improvement ·
Chapter 2: The DMAIC Problem solving process
Part II: Statistical Methods Useful in Quality Control and Improvement ·
Chapter 3: Statistical Models or Quality Control and Improvement ·
Chapter 4: Statistical Inferences in Quality Control and Improvement
Part III: Basic Methods of Statistical Process Control and Capability Analysis
Chapter 5: How SPC Works ·
Chapter 6: Variables Control Charts
Chapter 7: Attributes Control Charts ·
Chapter 8: Determining Process and Measurement System Capability
Part IV: Other Statistical Process-Monitoring and Control Techniques
Chapter 9: Time-Weighted Control Charts ·
Chapter 10: Advanced Control Charting Techniques ·
Chapter 11: Multivariate SPC
Chapter 12: Process Adjustment and Process monotoring
Part V: Process Design and Improvement with Designed Experiments
Chapter 13: Basic Experimental Design for Process Improvements
Chapter 14: Process Optimization
Part VI: Acceptance Sampling ·
Chapter 15: Basic Acceptance Sampling Procedures
Chapter 16: Additional Sampling Procedures
Appendix |
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