Title: Process Quality Control : Troubleshooting and Interpretation of Data, 4th Edition Author: Dean V. and Ott, Ellis R. and Edward G. Schilling, Neubauer ISBN: 0873896556 / 9780873896559 Format: Hard Cover Pages: 672 Publisher: ASQ Year: 2005 Availability: Out of Stock
Description
Contents
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.
List of Figures and Tables
Case Histories
Preface to the Fourth Edition
Preface to the Third Edition
Preface to the Second Edition
Preface to the First Edition
Part 1 : Basics of Interpretation of Data
Chapter 1 : Variables Data : An Introduction Chapter 2 : Ideas from Time Sequences of Observations Chapter 3 : Ideas from Outliers - Variables Data Chapter 4 : Variability - Estimating and Comparing Chapter 5 : Attributes or Go No-Go Data
Part 2 : Statistical Process Control
Chapter 6 : Sampling and Narrow-Limit Gauging Chapter 7 : Principles and Applications of Control Charts Chapter 8 : Process Capability, Performance and Improvement
Part 3 : Troubleshooting and Process Improvement
Chapter 9 : Some Basic Ideas and Methods of Troubleshooting and Problem Solving Chapter 10 : Some Concepts of Statistical Design of Experiments Chapter 11 : Troubleshooting with Attributes Data Chapter 12 : Special Strategies in Troubleshooting Chapter 13 : Comparing Two Process Averages Chapter 14 : Troubleshooting with Variables Data Chapter 15 : More Than Two Levels of an Independent Variable Chapter 16 : Assessing Measurements as a Process Chapter 17 : What’s on the CD Chapter 18 : Epilogue