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.

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Yes, you can access Process Quality Control by Ellis R. Ott, Edward G. Schilling, Dean V. Neubauer in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

ASQ Quality Press

Year

2005

ISBN

9781953079855

Edition

Topic

Economics

Subtopic

Statistics for Business & Economics

Index

Economics

Cover
Title page
Copyright
Table of Contents
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 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 Strategiesin 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
Index
About the Authors