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.
This book helps readers develop a better understanding of the history, implementation, and use-cases.
Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
If you have been frustrated by very technical statistical process control (SPC) training materials, then this is the book for you. This book focuses on how SPC works and why managers should consider using it in their operations.
In this volume of the Six Sigma and Beyond series, quality engineering expert D.H. Stamatis focuses on how Statistical Process Control (SPC) relates to Six Sigma.
New to this edition are an explanation of seven basic tools, new charts, and an exploration of current trends.
This is a book that will open up the power of SPC for many: managers, quality professionals, engineers and analysts, as well as students, will welcome the clarity and explanation that it brings to understanding the use and benefit of SPC in ...
This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively.
Understanding Statistical Process Control
Written in a step-by-step format, this practical guide explains how to analyze process data, collect data, and determine the suitability of a process in meeting requirements.
This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies.