Statistical Process Control and Quality Improvement

This “mathematics-friendly” volume introduces readers to basic concepts and applications of Statistical Process Control (SPC). Readers get a solid foundation in control charts—including setting scales, charting, interpreting, and analyzing process capability. Problem-solving techniques are emphasized, and all learning is linked to the implementation of SPC in the workplace. The volume offers an introduction to quality concepts and statistical process control, quality issues, variation and statistics, an introduction to tables, charts, and graphs, probability and the normal distribution, control charts, variables charts for limited data, attributes control charts, problem solving, gauge capability and acceptance sampling. For quality control trainers and quality management/improvement teams.

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.