Introduction to Statistical Quality Control

by Douglas C. Montgomery

This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Guidelines are given throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations. By presenting theory, and supporting the theory with clear and relevant examples, Montgomery helps the reader to understand the big picture of important concepts. Updated to reflect contemporary practice and provide more information on management aspects of quality improvement.

Genres: Engineering, Mathematics, Textbooks

759 pages, Hardcover

First published May 28, 1985

Reviews

[Ronia Turner · Rating 5 out of 5]

Best QC book ever!

[Faisal Al-Harbi · Rating 3 out of 5]

One of the few "studying" books that i actually completely read. Its language is easy enough for non-native speakers and mostly the author explains the topics very well.

[Christina Maya · Rating 5 out of 5]

Okay, first, (PS: when i really curious about the study of IE and how to keeping good control on any production system) i realize it's a goddess of statistical control book (if not mistaken, in Francaise, book is a female. am i right?). nice distribution introducing in foreword but a little bit confusing when i knew that my teacher did'nt use it as a reference book, and i got C for that. . How comee???

[Hazwany · Rating 5 out of 5]

Definitely I recommend this book for beginners!

[Muhammad Nuru]

good

[Chathura Kalugala · Rating 5 out of 5]

best way to beginers

[Idam Abdurrohim]

it's about how to control the cuality base on statistics

[Avradeep Ganguly]

nice