cerkalo
» » Process Quality Control

Process Quality Control download ebook

by Ellis R. Ott

Process Quality Control download ebook
ISBN:
0070479232
ISBN13:
978-0070479234
Author:
Ellis R. Ott
Publisher:
McGraw Hill Higher Education (September 1, 1975)
Language:
Pages:
416 pages
ePUB:
1101 kb
Fb2:
1896 kb
Other formats:
doc lrf mbr txt
Category:
Architecture
Subcategory:
Rating:
4.8

Process Quality Control book.

Process Quality Control book. Troubleshooting tool for manufacturing processes.

Ott is not longer with us, but the co-authors have sensibly decided to update a classic, rather than starting from scratch. The book is divided into three sections: Basics of Interpretation of Data, Statistical Process Control, and Troubleshooting and Process Improvement. The examples in the older book are as relevant today as they are then.

Process Quality Control. Ellis R. Ott, Edward G. Schilling, Dean V. Neubauer. Softcover, 672 pages, Published 2005. 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.

Process Quality Control was based on Ott's consulting experiences in problem solving. As an ongoing tribute to Ott's contributions to the quality control profession, several of his colleagues formed the Ellis R. Ott Foundation after his death in 1981

Process Quality Control was based on Ott's consulting experiences in problem solving. Ott Foundation after his death in 1981.

3: modeling process quality. Chapter Overview and Learning Objectives. He is a recipient of the Ellis R. Ott Award. This book is about the use of modern statistical methods for quality control and improvement. Describing Variation. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications.

Subject(s): Process control - Statistical methods Quality control - Statistical methodsDDC classification: 65. 62. Tags from this library: No tags from this library for this title.

Books by Ellis R Ott with Solutions. Ott, Dean V. Neubauer, Edward G. Schilling. Ellis R Ott, Ellis R. Schilling, Edward G Schilling. Join Chegg Study and get: Guided textbook solutions created by Chegg experts.

Ellis Ott, 1906-1981, is renowned as a quality educator and quality technology leader. Mathematics, University of Illinois, previously a professor at the University of Buffalo, became the chairman of the new University College Mathematics Department. Ellis Ott's vision and enthusiasm brought both the theory and application of quality control fully into the realm.

His name was Ellis R. Ott. An honorary member of the American Society for Quality, Ott was a pioneer in the use of. . An honorary member of the American Society for Quality, Ott was a pioneer in the use of graphical methods for applied statistical analysis. Many of his students have been -and still are -at the forefront of today's quality movement.

His book, Process Quality Control (with . Neubauer), is among the leading texts in the field. Dean V. Neubauer is an Engineering Fellow in the Process Engineering Directorate in the Manufacturing, Technology and Engineering (MTE) Division at Corning Incorporated. He has worked for Corning since 1981 and has been involved in projects in every major business over this time. patents for compositional work on a variety of materials and devices for the manufacture of display glass.

Great vintage book!
Reviews:
  • Arith
The book was written and edited by the chairmen of university statistics departments.
The book is well written.
Seller review
The pros: The book received is what was advertised.
The cons (sort of): The book; as advertised, was shipped from across the pond and the wait was longer.
.
  • AnnyMars
I own books by Montgomery and Wheeler and keep coming back to this one for reference. Great for ease of understanding.
  • Skillet
One of my prize possessions is this book, a copy of the original 1975 edition, signed by Professor Ott himself.
When I first got a job in Quality Assusrance, this was one of the books I consulted in my local college library. I soon found it was the best of the lot for its clear explanations, practical examples and sheer readability. When I came back into QA after working in another field, one of the first things I did was procure a copy of the book from a bookfinder - the 2nd hand copy I was delighted to discover also had Ott's signature!
It is great to see an updated edition is now on sale and that Ellis Ott's name is not forgotten, for he (as far as I can find out about him) is one of the unsung pioneers of Statistical Process Control. Ott is not longer with us, but the co-authors have sensibly decided to update a classic, rather than starting from scratch. The examples in the older book are as relevant today as they are then.
From what I can see, this book sticks to the philosophy of the earlier editions but has modernized its approach in some respects, especially in the notation of Experimental Design and in the use of Excel, which I also remommend as an easy-to-use PC tool. Highly recommended for practitioners of Statistical Process Control.
  • Riavay
I recommend that this very well written text belong to every statistician who works in industry. Others such as mechanical, electrical, chemical, etc., engineers and scientists will also find this book to be a valuable reference. The book covers the breadth of useful statistical methods that industrial practitioners would likely encounter. Some topics such as implementing statistical process control, design of experiments with two or three factors, and troubleshooting with attributes and variables data are discussed extensively. Many real life examples from various industries are used throughout to illustrate the statistical concepts. All topics are well referenced enabling the reader to explore more thoroughly their areas of interest. The book also features a CD-ROM for the PC which contains datasets and solutions to practice exercises. An Excel add-in program is included for Analysis of Means [ANOM] of attributes and variables data the results of which are presented graphically.
The book is divided into three sections: Basics of Interpretation of Data, Statistical Process Control, and Troubleshooting and Process Improvement. The first section reviews many basic statistical concepts familiar to most statisticians. The second describes many facets of SPC some of which, such as Precontrol or Narrow-Limit Gauging in Process Control, the reader including myself may not be conversant, but will find useful in their own line of work. The last section describes what are probably underutilized but often very useful troubleshooting techniques. ANOM, for example, is a powerful way of analyzing data from industrial experiments with two or three factors resulting in graphics that can be used to clearly communicate conclusions to managers, to other engineers and scientists, and/or to operators on the shop floor.
I really enjoyed reading this book and am finding it to be a valuable reference to which I refer again and again.
Hank W. Altland Senior Project Engineer, Statistics Corning, Inc.
August 26, 2000
  • Zieryn
This is a wonderful textbook for the practicing statistician, process engineer, or anyone who works with data on a regular basis. This book finds the right mix of statistical theory and practical applications of the statistical concepts to process troubleshooting. "Process Quality Control: Troubleshooting and Interpretation of Data" will be appropriate for a course taught to statistics majors as well as anyone in an engineering field, and it will also be a very valuable reference to anyone working in industry who is tasked with using data to make decisions about their processes.
The book is very thorough, covering everything from the basics of visualizing data (histograms, box plots, etc.) through basic DOE and SPC all the way to more sophisticated SPC concepts such as narrow-limit gauging, acceptance control charts, and cumulative sum charts. I cannot think of a topic in basic SPC that is not covered in this text. A great bonus is the CD that comes with the text that includes answers to all of the exercises and an add-in for Excel that performs Analysis of Means, making this great graphical tool for summarizing results of statistical analyses even more practical to use.
All in all, a very thorough text with many examples/case studies that would be useful to anyone in industry in charge of controlling and improving processes.