Process quality control : troubleshooting and interpretation of data

Bibliographic Information

Process quality control : troubleshooting and interpretation of data

Ellis R. Ott, Edward G. Schilling

McGraw-Hill, c1990

2nd ed

Available at  / 4 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

In this revised edition of a highly successful guide to statistical quality control, over 80% of the contents have been updated or rewritten. The reader will find new information on the many advances that have taken place in numerical methods, automated process control, improved experiment design, and a new, easier way to handle analysis of means for interactions. Unique and practical in presentation, the book is a straightforward and comprehensive working guide to troubleshooting in manufacturing processes.

Table of Contents

Part I: Basics of Interpretation of Data.Variables Data: An Introduction.Ideas from Time Sequences of Observations.Ideas from Outliers-Variables Data.Variability--Estimating and Comparing.Attributes or Go No-Go Data.Part II: Statistical Process Control.On Sampling to Provide Feedback of Information.Narrow Limit Gauging in Process Control.On Implementing Statistical Process Control.Part III: Troubleshooting and Process Improvement.Some Basic Ideas and Methods of Troubleshooting.Some Concepts of Statistical Design of Experiments.Troubleshooting with Attributes Data.Special Strategies in Troubleshooting.Comparing Two Process Averages.Troubleshooting with Variables Data.More Than Two Levels of an Independent Variable.

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