| Contents |
Machine generated contents note: 1. The Importance of Quality Improvement -- 1.1. Introduction -- 1.2. What Is Statistical Process Control? -- 1.3. The Birth of Quality Control -- 1.4. What Is a Process? -- 1.5. Examples of Processes from Daily Life -- 1.6. Implementing the Tools and Techniques -- 1.7. Continuous Process Improvement -- 1.8. The Goal of Statistical Process Control -- 1.9. The Eight Dimensions of Quality for Manufacturing & Service -- 1.10. The Cost of (Poor) Quality -- 1.11. What Did We Learn? -- 1.12. Test Your Knowledge -- 2. Graphical Display of Data -- 2.1. Introduction to eZ SPC -- 2.2. Qualitative and Quantitative Data -- 2.3. Bar Chart -- 2.4. Pie Chart -- 2.5. Pareto Chart -- 2.6. Radar Chart |
| Contents |
2.7. Histogram -- 2.8. Box Plot -- 2.9. Scatter Plot -- 2.10. Cause and Effect Diagram -- 2.11. What Did We Learn? -- 2.12. Test Your Knowledge -- Exercises -- 3. Summarizing Data -- 3.1. Central Tendency -- 3.2. Variability -- 3.3. Statistical Distributions -- 3.4. Distributions in eZ SPC -- 3.5. What Did We Learn? -- 3.6. Test Your Knowledge -- Exercises -- 4. Analyzing Data -- 4.1. Confidence Intervals -- 4.2. Test of Hypothesis -- 4.3. The p-value -- 4.4. Probability Plots -- 4.5. What Did We Learn? -- 4.6. Test Your Knowledge -- Exercises -- 5. Shewhart Control Charts -- 5.1. The Concept of a Control Chart -- 5.2. Managing the Process with Control Charts -- 5.3. Variable Control Charts -- 5.4. Attribute Control Charts -- 5.5. Deciding Which Chart to Use |
| Contents |
5.6. What Did We Learn? -- 5.7. Test Your Knowledge -- Exercises -- 6. Advanced Control Charts -- 6.1. CUSUM Control Chart -- 6.2. EWMA Control Chart -- 6.3. CV Control Chart -- 6.4. Nonparametric Control Charts -- 6.5. Process Capability -- 6.6. Gage R & R -- 6.7. What Did We Learn? -- 6.8. Test Your Knowledge -- Exercises -- 7. Process Improvement -- 7.1. Correlation Analysis -- 7.2. Regression Analysis -- 7.3. Experimental Design -- 7.4. Overview of Experimental Design -- 7.5. Principles of Experimentation -- 7.6. One-Way Analysis of Variance -- 7.7. Two Way Analysis of Variance -- 7.8. Two-level Factorial Design Analysis -- 7.9. What Did We Learn? -- 7.10. Test Your Knowledge -- Exercises -- 8. End Material -- 8.1. Final Exam -- 8.2. Final Exam Solutions -- 8.3. Test Your Knowledge: Answers. |
| Abstract |
"This book is an introductory book on improving the quality of a process or a system, primarily through the technique of statistical process control (SPC). There are numerous technical manuals available for SPC, but this book differs in two ways: (1) the basic tools of SPC are introduced in a no-nonsense, simple, non-math manner, and (2) the methods can be learned and practiced in an uncomplicated fashion using free software (eZ SPC 2.0), which is available to all readers online as a downloadable product. The book explains QC7 Tools, control charts, and statistical analysis including basic design of experiments. Theoretical explanations of the analytical methods are avoided; instead, results are interpreted through the use of the software"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references (pages 212-213) and index. |
| LCCN | 2010042346 |
| ISBN | 9780470889497 (paperback) |
| ISBN | 0470889497 (paperback) |
