Statistical Process Control and Quality Improvement (5th Edition)

Description

Features

• NEW – Probability material added to Normal Distribution chapter.

  • Familiarizes students with concepts of probability, compound probability and probability distributions.

• NEW – Six Sigma quality concepts added.

  • Presents students with the dynamic nature of manufacturing processes.

• Well–written, step–by–step procedures.

  • Provides students with easy–to–understand presentation of basic statistical concepts.

• Comprehensive lab exercises for each chapter.

  • Offers students a hands–on opportunity to practice and apply learned concepts.

• Informational boxes.

  • Provides students with highlights of definitions and formulas without interrupting the flow of the text, making the text easier to use and to study from.

• More than 300 exercises—165 worked examples, many with step–by–step procedures and 2, 3, or 4 step charts and diagrams.

  • Gives students an increased opportunity to understand and master the course material. Answers to odd exercises in Appendix D allow students to check their homework results for feedback in the learning process.

• Flexible format and thoughtful treatment of mathematics.

  • Enables students with varying math skills to understand computation with little difficulty—and without previous knowledge of statistics.

• Presentation of math concepts on an “as needed” basis—Keeps the emphasis on quality control.

  • Allows instructors to explain the corresponding mathematics with each topic, or present the concepts first then match them with specific SPC themes.

• Numerous case studies throughout.

  • Offers students practical experience in SPC applications and their widespread use in business and industry, making course material real–world and relevant.

• Use of sequential control charts.

  • Allows students to compare their step–by–step process with partially completed control charts.

• Use of control charts and SPC.

  • Shows students how to apply control charts and other SPC concepts to their college courses. Provides personal, hands–on applications of SPC.

• Linear regression.

  • Presents students with the application of the linear regression mode on statistical calculators.

• Walter Shewhart‘s contribution to control charts.

  • Provides students with a better understanding of the concepts.

New To This Edition

• Probability material added to Normal Distribution chapter.

  • Familiarizes students with concepts of probability, compound probability and probability distributions.

• Six Sigma quality concepts added.

  • Presents students with the dynamic nature of manufacturing processes.

Backcover Copy

This new edition of Statistical Process Control and Quality Improvement has been updated to include a "reader–friendly" environment that allows for quick comprehension of the ideas and concepts covered in this book. With its easy readability, this text sets a foundation for charting, interpreting, and analyzing process capability, while also introducing the reader to other basic concepts and applications of Statistical Process Control (SPC). The problem–solving emphasis of this text is linked to the implementation of SPC in the workplace.

• New—The incorporation of probability in Chapter 5 now allows for a clear–cut commentary on the importance of probability in and out of the workplace.
• New—This edition presents a section on Six Sigma that goes into greater depth on the subject than any earlier edition.
• Completely new exercises help explain and clarify concepts presented in the text.