Introduction to Statistical Quality Control

Douglas C. Montgomery

ISBN 10: 0471661228 / ISBN 13: 9780471661221

Published by John Wiley & Sons, 2004

About this Item

Fast Free Shipping â Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.

Seller Inventory # GWV.0471661228.G

Bibliographic Details

• Title: Introduction to Statistical Quality Control
• Publisher: John Wiley & Sons
• Publication Date: 2004
• Language: English
• ISBN 10: 0471661228
• ISBN 13: 9780471661221
• Binding: Hardcover
• Edition: 5th or later Edition
• Condition: good

About this title

Synopsis

Necesito ver los contenidos de este libro porque tengo laedición 1991 y quisiera conoccer si hay cambios importantes.

From the Back Cover

Expert guidance  on modern SQC methods, from the name you trust!

Douglas Montgomery's modern iintroduction to SQC prepares you for professional practice with comprehensive coverage of current statistical methods for quality control and improvement. With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques such as the six-sigma approach.

Fullu updated and revised, this Fifth Edition features more fully integrated coverage of Minitab, new homework problems, new and more modern examples, and more.

Introduction to Statistical Quality Control, Fifth Edition:

• Provides guidelines throughout  the book for selecting the proper type of statistical technique to use in a wide variety of product and non-product situations.
• Presents comprehensive coverage—ranging from basic principles to state-of-the-art applications.
• Provides clear and relevant examples, including new examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. many examples and exercises are based on real data.
• Reflects contempory practice and provides more information on management aspects of quality improvement.
• Emphasizes statistical techniques in the context of a strong engineering and management orientation.
• Includes electronic versions of all data sets in the text, supplemental text material, and all instructor resources on the Montgomery SQC website www.wiley.com/college/montgomery.