Completely revised and updated, A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also give a full understanding of why each topic covered is essential to learning proper quality management. They present the information in a manner that builds a strong foundation in quality management without overwhelming readers.
See what’s new in the new edition:
Reflects changes in the latest revision of the ISO 9000 Standards and the Baldrige Award criteria
Includes new mini-projects and examples throughout
Incorporates Lean methods for reducing cycle time, increasing throughput, and reducing waste
Contains increased coverage of strategic planning
This text covers management and statistical methods of quality engineering in an integrative manner, unlike other books on the subject that focus primarily on one of the two areas of quality. The authors illustrate the use of quality methods with examples drawn from their consulting work, using a reader-friendly style that makes the material approachable and encourages self-study. They cover the must-know fundamentals of probability and statistics and make extensive use of computer software to illustrate the use of the computer in solving quality problems.
Reorganized to make the book suitable for self study, the second edition discusses how to design Total Quality System that works. With detailed coverage of the management and statistical tools needed to make the system perform well, the book provides a useful reference for professionals who need to implement quality systems in any environment and candidates preparing for the exams to qualify as a certified quality engineer (CQE).
Brand: CRC Press
Used Book in Good Condition
Most Helpful Customer Reviews
I bought this book because it is required for a class. I've taken other statistic and research method courses, so I already had some background. However, this book does a decent job at explaining and giving plenty of examples. The issues I have with the book is that there are some mathematical errors, they do not always explain where the values are coming from, and there are some examples that do not have an explanation of how to interpret the results. Some of the examples are kind of self-explanatory, so those ones do not cause an issue. Or at least, I think they are self-explanatory. Again, I have taken other courses for statistics and research methods. In regards to shipping, the book arrived earlier than expected, which was nice, and it was packaged in a box to make it snug. There was no visible damage to the book upon arrival.
Only in chapter 2 and there are a lot of typos. The worst part is that there are typos on the homework problems and the solutions in the back, so how am I supposed to if I got the problem right or not?!! This is the second edition of the book, so they should have fixed all of the errors by now. The content of the book is okay though.
good book for quality engineer
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