Process Quality Control - Troubleshooting and Interpretation of Data

Ellis Ott taught generations of quality practitioners to be explorers of the truth through the collection and graphical portrayal of data. From a simple plea to "plot the data" to devising a graphical analytical tool called the analysis of means (ANOM), Ott demonstrated that process knowledge is to be gained by seeking the information contained within the data. In this newest version of Ott's classic text, the authors have strived to continue down the path that he created for others to follow. Additions to this revised edition include: the use of dot plots as an alternative to histograms; digidot plots; adding events to charts; emphasis on the role that acceptance control charts play in controlling risks and the computation of average run length (ARL); a new chapter devoted to process capability, process performance, and process improvement, including the use of confidence intervals for process capability metrics; narrow-limit gauging as another means of assessing the capability of a process; Six Sigma methodology; design resolution; scatter plot matrices as applied to datasets of higher dimensions; and a new chapter on measurement studies.
Content:
Front Matter
• List of Figures and Tables
• Case Histories
Prefaces
• Table of Contents
•Part I. Basics of Interpretation of Data 1. Variables Data: An Introduction
2. Ideas from Time Sequences of Observations
3. Ideas from Outliers - Variables Data
4. Variability - Estimating and Comparing
5. Attributes or Go/No-Go Data
•Part II. Statistical Process Control 6. Sampling and Narrow-Limit Gauging
7. Principles and Applications of Control Charts
8. Process Capability, Performance, and Improvement
•Part III. Troubleshooting and Process Improvement 9. Some Basic Ideas and Methods of Troubleshooting and Problem Solving
10. Some Concepts of Statistical Design of Experiments
11. Troubleshooting with Attributes Data
12. Special Strategies in Troubleshooting
13. Comparing Two Process Averages
14. Troubleshooting with Variables Data
15. More Than Two Levels of an Independent Variable
16. Assessing Measurements as a Process
17. What's on the CD-ROM
18. Epilogue
• Appendix: Tables
• About the Authors
Index