Statistical Process Control and Quality Improvement 

Fifth Edition

Gerald M. Smith

Pearson/Prentice-Hall

 

This textbook is designed for use in two-year and four-year colleges, technical colleges, and industry. With its easy readability, this book sets a foundation for charting, interpreting, and analyzing process capability, while also introducing students to other basic concepts and applications of statistical process control. This text is mathematics-friendly. A low-level mathematics approach is used so that anyone with a basic algebra background can learn the control chart concepts in Chapters 1 through 10 and the problem-solving concepts in Chapter 11.

 

The topical coverage of this textbook includes organization of data, probability distributions, control charts for variables, attributes control charts, interpretation of control charts, gauge capability, acceptance sampling, problem solving, and total quality management (TQM). Basic algebra concepts are included in the Appendix A of this book. Comprehensive lab exercises for each chapter are included in Appendix D.

 

This textbook features objectives for every chapter, boxed formulas, eighteen (18) case studies, 165 worked examples, and more than 300 exercises. The entire book contains enough material for a three-credit-hour course on SPC. Elementary algebra is the mathematics prerequisite for anyone studying the entire book.