Introduction to Statistical Quality Control - Tapa dura

Reseña del editor

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 non-product 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 non-product 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.

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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.