Statistical Process Control Demystified / Edition 1

by Paul A. Keller

Overview

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Identify and reduce variation in business processes using SPC—the powerful analysis tool for process evaluation and improvement. Statistical Process Control Demystified shows you how to use SPC to enable data-driven decision making and gain a competitive advantage in the marketplace.

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. Attribute and X-bar control charts are discussed, as are charts for individuals data. You'll also get details on process improvement and measurement systems analysis. Detailed examples, calculations, and statistical assumptions make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts.

It's a no-brainer! You'll learn about:

• Control chart interpretation
• Overcoming common errors in the use of SPC and general statistical analysis tools
• Sampling requirements
• Analysis using Excel
• Estimating process variation
• Designed experiments
• Measurement systems analysis, including R&R studies
• Continuous process improvement strategies

Simple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.

Product Details

ISBN-13:	9780071742498
Publisher:	McGraw Hill LLC
Publication date:	07/19/2011
Series:	Demystified
Edition description:	Original
Pages:	320
Product dimensions:	7.30(w) x 9.10(h) x 0.70(d)

About the Author

Paul Keller is President and Chief Operating Officer of Quality America, Inc., and has developed and implemented successful Six Sigma and quality improvement programs in service and manufacturing environments. He is the bestselling author or coauthor of several books, including The Six Sigma Handbook, Six Sigma DeMYSTiFieD, and others.

Table of Contents

Chapter 1. Analyzing Process Data
Chapter 2. Data Collection
Chapter 3. Determining Suitability to Requirements
Chapter 4. Attribute Control Charts
Chapter 5. X Charts
Chapter 6. Charts for Individuals Data
Chapter 7. Process Improvement
Chapter 8. Measurement Systems Analysis
Chapter 9. Questions and Examples from Practitioners
Final Exam
Answers to Quizzes and Final Exam
Appendix: Control Chart Constants
References
Index