简介
Covers the use of statistical techniques for quality control, from basic principles to advanced applications, with a strong engineering and management orientation. Montgomery (industrial engineering, Arizona State U.) has designed the text for an undergraduate course in statistical quality control. A basic knowledge of statistical methods is recommended, but not required. The fourth edition includes recent developments in the field, new examples, and integrated and expanded coverage of computer software such as Minitab and Excel. Annotation c. Book News, Inc., Portland, OR (booknews.com)
目录
Chapter 1 Quality Improvement in the Modern Business Environment
Part I Statistical Methods Useful in Quality Control and Improvement
Chapter 2 Modeling Process Quality
Chapter 3 Statistics and Sampling Distributions
Part II Basic Methods of Statistical Process Control and Capability Analysis
Chapter 4 Methods and Philosophy of Statistical Process Control
Chapter 5 Control Charts for Variables
Chapter 6 Control Charts for Attributes
Chapter 7 Process and Measurement System Capability Analysis
Part III Other Statistical Process-Monitoring and Control Techniques
Chapter 8 Cumulative Sum and Exponentially Weighted Moving Average Control Charts
Chapter 9 Other Univariate Statistical Process Monitoring and Control Techniques
Chapter 10 Multivariate Process Monitoring and Control
Chapter 11 Engineering Process Control and SPC
Part IV Process Design and Improvement with Designed Experiments
Chapter 12 Factorial and Fractional Factorial Experiments for Process Design and Improvement
Chapter 13 Process Optimization with Designed Experiments
Part V Acceptance Sampling
Chapter 14 Lot-by-Lot Acceptance Sampling for Attributes
Chapter 15 Other Acceptance-Sampling Techniques
Appendices
Answers to Selected Problems
Index
Part I Statistical Methods Useful in Quality Control and Improvement
Chapter 2 Modeling Process Quality
Chapter 3 Statistics and Sampling Distributions
Part II Basic Methods of Statistical Process Control and Capability Analysis
Chapter 4 Methods and Philosophy of Statistical Process Control
Chapter 5 Control Charts for Variables
Chapter 6 Control Charts for Attributes
Chapter 7 Process and Measurement System Capability Analysis
Part III Other Statistical Process-Monitoring and Control Techniques
Chapter 8 Cumulative Sum and Exponentially Weighted Moving Average Control Charts
Chapter 9 Other Univariate Statistical Process Monitoring and Control Techniques
Chapter 10 Multivariate Process Monitoring and Control
Chapter 11 Engineering Process Control and SPC
Part IV Process Design and Improvement with Designed Experiments
Chapter 12 Factorial and Fractional Factorial Experiments for Process Design and Improvement
Chapter 13 Process Optimization with Designed Experiments
Part V Acceptance Sampling
Chapter 14 Lot-by-Lot Acceptance Sampling for Attributes
Chapter 15 Other Acceptance-Sampling Techniques
Appendices
Answers to Selected Problems
Index
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