ABSTRACT

Statistical Process Control (SPC) is a tool that measures and achieves quality control, providing managers from a wide range of industries with the ability to take appropriate actions for business success. Offering a complete instructional guide to SPC for professional quality managers and students alike, all the latest tools, techniques and philosophies behind process management and improvement are supported by the author’s extensive consulting work with thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on actual client work from an array of industries, a new chapter on process capability, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It will serve as a textbook for both student and practicing engineers, scientists, technologists and managers and for anyone wishing to understand or implement modern statistical process control techniques.

part |2 pages

Part 1 Process Understanding

chapter 1|20 pages

Quality, processes and control

chapter 2|19 pages

Understanding the process

chapter 3|19 pages

Process data collection and presentation

part |2 pages

Part 2 Process Variability

chapter 5|20 pages

Variables and process variation

part |2 pages

Part 3 Process Control

chapter 6|46 pages

Process control using variables

chapter 8|32 pages

Process control by attributes

chapter 9|31 pages

Cumulative sum (cusum) charts

part |2 pages

Part 4 Process Capability

part |2 pages

Part 5 Process Improvement

chapter 11|40 pages

Process problem solving and improvement

chapter 12|19 pages

Managing out-of-control processes

chapter 14|23 pages

Six-sigma process quality