Quality Improvement

by Dale Besterfield Ph.D. P.E.

For undergraduate and graduate-level courses in Quality Control, Statistical Process Control, Quality Improvement, and Quality Assurance. This book will be valuable in programs such as Quality Improvement, Lean Six Sigma, Quality Control, and Statistical Process Control; in Associate Degree in Quality and other technical programs; in Baccalaureate programs in Engineering, Technology, Health Care, Education, and Business; and in Masters Degree programs in business. Formerly titled Quality Control , the field’s most accessible introduction to quality has been renamed and revamped to focus on quantitative aspects of quality improvement. New chapters on Lean Enterprise, Six Sigma, Experimental Design, and Taguchi’s Quality Engineering have been added, and this new Ninth Edition adds comprehensive coverage of fundamental statistical quality improvement concepts. A practical state-of-the-art approach is stressed throughout, and sufficient theory is presented to ensure that students develop a solid understanding of basic quality principles. To improve accessibility, probability and statistical techniques are presented through simpler math or developed via tables and charts. As with previous editions, this text is written to serve a widely diverse audience of students, including the growing number of “math shy” individuals who must play key roles in quality improvement.

Hardcover

Published February 28, 2019

Reviews

[Abuzooz]

Wonder full

http://helpyoustudy.wordpress.com

[Doug · Rating 1 out of 5]

This is the 9th edition of a popular textbook on the use of statistical methods in quality control. I selected this book for an industrial technology class I teach.

By the ninth try I would expect a nearly error free, well written book. Sadly, this edition again has multiple typographics errors, refers to topics as if they will be thoroughly covered in later chapters (gage R&R has been gutted to being useless), and important material from the 8th is no longer even there even though these methods remain common in industrial practice (e.g., Dodge & Romig inspection plans).

I have not finished testing all the Excel templates but those delivered with the 8th edition were error-filled and actually interfered with student learning.

Two chapters have been added which contain material that may be beyond the needs of typical engineering technicians - ANOVA/DOE and Taguchi orthogonal designs. Each chapter includes topics that might have been interesting to some students but not at the expense of removing tools that they will need - gage R&R is a tool used daily by students who graduate from our program but what merely adequate in the 8th is now wasted reading.

What was the author thinking? When I agreed to use this author's book again what was I thinking?