Process Quality Control

Ott, Ellis R.

ISBN 10: 0070479232 / ISBN 13: 9780070479234

Published by McGraw Hill Higher Education, 1975

About this Item

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Seller Inventory # ERICA79100704792323

Bibliographic Details

• Title: Process Quality Control
• Publisher: McGraw Hill Higher Education
• Publication Date: 1975
• Language: English
• ISBN 10: 0070479232
• ISBN 13: 9780070479234
• Binding: Hardcover
• Condition: Acceptable
• Book Type: book

About this title

Synopsis

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.

From the Back Cover

"Full of numerous case studies that give insight into the kind of detailed process sleuthing that process capability studies are all about ... it should be a part of every serious quality practitioner's library."

--Bert Gunter in Quality Progress Magazine* Want to design fail-safe methods for finding and solving problems in complex processes? Discover new ways to coax answers from complicated data? Uncover hidden value in perplexing findings? If you want the most sophisticated and insightful approach to process sleuthing and process capability available, you've come to the right place. Packed with case studies drawn from real industrial processes, Process Quality Control demonstrates how to collect, crunch, and analyze data, step by step. Along the way, it gives you examples of successful, real-world applications used to solve tough questions. This book can help you: Learn time-tested troubleshooting methodologies. Discover better ways to gather, interpret and analyze data. Correctly interpret findings with time-ordered data. Resolve difficult, puzzling, or conflicting results with proven methods. Gain new insight in the analysis of attributes and variables data. Employ newer methods of analysis to maximize the information from your data. Draw problem-solving solutions from the identification of outliers in data. Apply graphical analysis to experimental designs. For anyone charged with discovering problems in processes, or suggesting improvements, there could be no more worthwhile--or inspiring--reading than Ellis Ott's, Edward G. Schilling's, and Dean V. Neubauer's Process Quality Control.