Six Sigma Quality Improvement With Minitab 2E
商品資訊
ISBN13：9780470741740
出版社：John Wiley & Sons Inc
作者：Henderson
出版日：2011/07/28
裝訂／頁數：平裝／528頁
規格：24.8cm*17.3cm*2.5cm (高/寬/厚)
商品簡介
The second edition includes the following new material:
- Pareto charts and Cause-and-Effect diagrams
- Time-weighted control charts cumulative sum (CUSUM) and exponentially weighted moving average (EWMA)
- Multivariate control charts
- Acceptance sampling by attributes and variables (not provided in Release 14)
- Tests of association using the chi-square distribution
- Logistic regression
- Taguchi experimental designs
作者簡介
G. Robin Henderson, Statistical Consultant, Halcro Consultancy.
目次
Preface
Acknowledgements
About the author
Chapter 1 - Introduction
1.1 Quality and quality improvement
1.2 Six Sigma quality improvement
1.3 The Six Sigma roadmap and DMAIC
1.4 The role of statistical methods in Six Sigma
1.5 Minitab and its role in the implementation of statistical methods
1.6 Exercises and follow-up activities
Chapter 2 - Data display, summary and manipulation
2.1 The run chart - a first Minitab session
2.2 Display and summary of univariate data
2.3 Data input, output, manipulation and management
2.4 Exercises and follow-up activities
Chapter 3 - Exploratory data analysis, display and summary of multivariate data
3.1 Exploratory data analysis
3.2 Display and summary of bivariate and multivariate data
3.3 Other displays
3.4 Exercises and follow-up activities
Chapter 4 - Statistical models
4.1 Fundamentals of probability
4.2 Probability distributions for counts and measurements
4.3 Distributions of means and proportions
4.4 Multivariate normal distribution
4.5 Statistical models applied to acceptance sampling
4.6 Exercises and follow-up activities
Chapter 5 - Control charts
5.1 Shewhart charts for measurement data
5.2 Shewhart charts for attribute data
5.3 Time-weighted control charts
5.4 Process adjustment
5.5 Multivariate control charts
5.5 Exercises and follow-up activities
Chapter 6 - Process capability analysis
6.1 Process capability
6.2 Exercises and follow-up activities
Chapter 7 Process experimentation with a single factor
7.1 Fundamental concepts in hypothesis testing
7.2 Tests and confidence intervals for the comparison of means and of proportions with a standard
7.3 Tests and confidence intervals for the comparison of two means or two proportions
7.4 The analysis of paired data - t-tests and sign tests
7.5 Experiments with a single factor having more than two levels
7.6 Blocking in single factor experiments
7.7 Experiments with a single factor, with more than two levels, where the response is a proportion
7.8 Tests for equality of variance
7.9 Exercises and follow-up activities
Chapter 8 - Process experimentation with two or more factors
8.1 General factorial experiments.
8.2 Full factorial experiments in the 2k series
8.3 Fractional factorial experiments in the 2k-p series
8.4 Taguchi experimental designs
8.5 Exercises and follow-up activities
Chapter 9 - Evaluation of measurement processes
9.1 Measurement process concepts
9.2 Gage repeatability and reproducibility (R&R) studies
9.3 Comparison of measurement systems
9.4 Attribute scenarios
9.5 Exercises and follow-up activities
Chapter 10 - Regression and model building
10.1 Regression with a single predictor variable
10.2 Multiple regression
10.3 Response surface methods
10.4 Categorical data and logistic regression
10.5 Exercises and follow-up activities
Chapter 11 - Learning more and further Minitab
11.1 Learning more about Minitab and obtaining help
11.2 Macros
11.3 Further features of Minitab
11.4 Quality Companion
11.5 Postscript
Appendices
References
Index
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