Statistical Quality Control
A Modern Introduction. International Student Version
(Sprache: Englisch)
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...
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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
Klappentext zu „Statistical Quality Control “
The sixth edition of Introduction to Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. Both traditional and modern methods are presented, including state-of-the-art techniques for statistical process monitoring and control and statistically designed experiments for process characterization, optimization, and process robustness studies. The sixth edition has been updated to place more focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma) including a new chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. SQC is best suited for upper-division students in engineering, statistics, business and management science or students in graduate courses.
Inhaltsverzeichnis zu „Statistical Quality Control “
Part I: IntroductionChapter 1: Quality Improvement in the Modern Business Environment
Chapter 2: The DMAIC Process
Part II: Statistical Methods Useful in Quality Control and Improvement
Chapter 3: Modeling Process Quality
Chapter 4: Inferences about Process Quality
Part III: Basic Methods of Statistical Process Control and Capability Analysis
Chapter 5: Methods and Philosophy of Statistical Process Control
Chapter 6: Control Charts for Variables
Chapter 7: Control Charts for Attributes
Chapter 8: Process and Measurement System Capability Analysis
Part IV: Other Statistical Process-Monitoring and Control Techniques
Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts
Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques
Chapter 11: Multivariate Process Monitoring and Control
Chapter 12: Engineering Process Control and SPC
Part V: Process Design and Improvement with Designed Experiments
Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements
Chapter 14: Process Optimization and Designed Experiments
Part VI: Acceptance Sampling
Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes
Chapter 16: Other Acceptance Sampling TechniquesAppendix
Autoren-Porträt von Douglas C. Montgomery
Douglas C. Montgomery is Professor of Engineering and Statistics at Arizona State University. He received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. The author and coauthor of many technical papers and twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, the American Statistical Association, the Royal Statistical Society, the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute.
Bibliographische Angaben
- Autor: Douglas C. Montgomery
- 2009, 6th ed., XIV, 734 Seiten, mit Abbildungen, Maße: 20,2 x 25,4 cm, Kartoniert (TB), Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470233974
- ISBN-13: 9780470233979
Sprache:
Englisch
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