the certifieeed six sigma handbook

8/17/2019 The Certifieeed Six Sigma Handbook

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The Certified Six SigmaGreen Belt Handbook

Second Edition


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Also available from ASQ Quality Press:

Process Improvement Using Six Sigma: A DMAIC Guide

Rama Shankar

Six Sigma Green Belt, Round 2: Making Your Next Project Better Than the Last OneTracy L. Owens

Statistics for Six Sigma Black BeltsMatthew Barsalou

The Certified Six Sigma Black Belt Handbook , Third EditionT. M. Kubiak and Donald W. Benbow

The ASQ Pocket Guide to Statistics for Six Sigma Black BeltsMatthew Barsalou

The Certified Six Sigma Master Black Belt Handbook T. M. Kubiak

Practical Engineering, Process, and Reliability StatisticsMark Allen Durivage

The ASQ Pocket Guide for the Certified Six Sigma Black Belt

T. M. Kubiak

The Certified Quality Engineer Handbook , Third EditionConnie M. Borror, editor

The Quality Toolbox, Second EditionNancy R. Tague

Root Cause Analysis: Simplified Tools and Techniques, Second EditionBjørn Andersen and Tom Fagerhaug

The Certified Manager of Quality/Organizational Excellence Handbook , Fourth EditionRussell T. Westcott, editor

The ASQ Quality Improvement Pocket Guide: Basic History, Concepts, Tools,and RelationshipsGrace L. Duffy, editor

To request a complimentary catalog of ASQ Quality Press publications,call 800-248-1946, or visit our website at http://www.asq.org/quality-press.


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ASQ Quality PressMilwaukee, Wisconsin

The Certified Six SigmaGreen Belt Handbook

Second Edition

Roderick A. Munro, Govindarajan Ramu, and Daniel J. Zrymiak


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American Society for Quality, Quality Press, Milwaukee 53203© 2015 by ASQAll rights reserved. Published 2015Printed in the United States of America

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Library of Congress Cataloging-in-Publication Data

Munro, Roderick A.The certified six sigma green belt handbook / Roderick A. Munro, Govindarajan Ramu,

and Daniel J. Zrymiak.—Second edition. pages cm Revised edition of: The certified six sigma green belt handbook / Roderick A. Munro . . .

[et al.]. c2008. Includes bibliographical references and index. ISBN 978-0-87389-891-1 (hard cover : alk. paper) 1. Six sigma (Quality control standard)—Handbooks, manuals, etc. 2. Production

management—Handbooks, manuals, etc. 3. Quality control—Statistical methods—Handbooks, manuals, etc. I. Ramu, Govindarajan. II. Zrymiak, Daniel J. III. Title.

TS156.C4235 2015

658.5—dc23 2014046292

ISBN 978-0-87389-891-1

No part of this book may be reproduced in any form or by any means, electronic, mechanical,photocopying, recording, or otherwise, without the prior written permission of the publisher.

Publisher: Lynelle KorteAcquisitions Editor: Matt T. MeinholzManaging Editor: Paul Daniel O’MaraProduction Administrator: Randall Benson

ASQ Mission: The American Society for Quality advances individual, organizational, andcommunity excellence worldwide through learning, quality improvement, and knowledgeexchange.

Attention Bookstores, Wholesalers, Schools, and Corporations: ASQ Quality Press books,video, audio, and software are available at quantity discounts with bulk purchases for business, educational, or instructional use. For information, please contact ASQ Quality Pressat 800-248-1946, or write to ASQ Quality Press, P.O. Box 3005, Milwaukee, WI 53201-3005.

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Printed on acid-free paper


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MICHAEL J. CLEARY

Founder of PQ Systems, Inc.Born June 3, 1939

Died suddenly on September 10, 2014

Dr. Cleary, a noted authority in the field of quality management and a chartermember of the Education Division of the American Society for Quality Control(now ASQ), founded PQ Systems, Inc., in 1984, with headquarters in Dayton, Ohio,later opening PQ Systems Europe Ltd., with sales in continental Europe and theMiddle East, and PQ Systems Pty Ltd. in Frankston, Australia, serving the PacificRim. The company’s products help organizations demonstrate proof of the qualityof their products and services using statistical methods and problem-solving tools.PQ Systems was named among the top 25 best places to work in Dayton in 2014.

Cleary played a principal role in developing the Transformation of Ameri-can Industry national training project, as well as the Total Quality Transforma-

tion training system. He served on the planning committee for the U.S.–JapaneseBusiness Conference in Tokyo, and presented papers on statistical process controland the applications of quality management principles to a variety of audiences inKorea, China, France, Great Britain, Australia, Singapore, and Japan. He was theauthor of A Data Analysis Handbook: Using the SPSS System, as well as coeditor ofPractical Tools for Continuous Improvement, volumes 1 and 2.

As a professor of management science at Wright State University from 1971–1996, Cleary was awarded the Business College Associates Alumni TeachingAward. His 25-year professorship in management science enabled Cleary to con-duct extensive research and garner valuable experience in expanding qualitymanagement methods. He was a leader in bringing quality management into thecurriculum of the College of Business, and published articles and papers on issues


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related to quality management, statistical applications, and decision sciences in avariety of academic and professional journals.

Cleary is survived by his wife of 50 years, Barbara A. Cleary, PhD, and their foursons: Sean (Katherine St. John), Timothy (Laura Jackson), Matthew (Liz Hansen),

and Dennis (Karina Johansen), grandsons Michael Wyatt Cleary, Harmon Hemp-stead Cleary, Daniel St. John Cleary, and Victor Thomas Cleary, granddaugh-ter Johanna Sol Cleary, sister Joan Buckman, brother-in-law John Rathman, andnieces and nephews.

vi Dedication


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vii

Table of Contents

List of Figures and Tables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xviPreface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxii Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxv

Part I Overview: Six Sigma and the Organization . . . . . . . . . . . . . 1

Chapter 1 A. Six Sigma and Organizational Goals. . . . . . . . . . . . . . . . . . . . . . . 21. Value of Six Sigma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

Why Use Six Sigma versus Other Methodologies?. . . . . . . . . . . . . . . . . . . 2How Six Sigma Philosophy and Goals Should Be Applied. . . . . . . . . . . . 3The Lead-Up to the Six Sigma Methodology. . . . . . . . . . . . . . . . . . . . . . . . 4Modern Six Sigma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Quality Pioneers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Processes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Business Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Process Inputs, Outputs, and Feedback . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Significance of Six Sigma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18A Green Belt’s Role . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Potential Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20DMAIC Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21The Six Sigma Road Map . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Cost–Benefit Analysis: (Cost of Quality, Quality Cost, Cost of Poor

Quality, Cost of Current Quality) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232. Organizational Goals and Six Sigma Projects . . . . . . . . . . . . . . . . . . . . . . . . . 25

Linking Projects to Organizational Goals . . . . . . . . . . . . . . . . . . . . . . . . . . 25

3. Organizational Drivers and Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Key Drivers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Voice of the Customer (VOC) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Balanced Scorecard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Scoreboard/Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Key Performance/Process Indicator (KPI) . . . . . . . . . . . . . . . . . . . . . . . . . . 30

Chapter 2 B. Lean Principles in the Organization. . . . . . . . . . . . . . . . . . . . . . . . 311. Lean Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31

Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Some of the Top Lean Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34

Waste (Muda) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41Additional Forms of Waste. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44


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2. Value Stream Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Value Stream. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44

Chapter 3 C. Design for Six Sigma (DFSS) Methodologies. . . . . . . . . . . . . . . . 49

1. Road Maps for DFSS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49IDOV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50DMADV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51

2. Basic Failure Mode and Effects Analysis (FMEA) . . . . . . . . . . . . . . . . . . . . . 54Why Do FMEAs? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56FMEA Forms/Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Steps in Performing FMEA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Severity, Occurrence, and Detection Tables. . . . . . . . . . . . . . . . . . . . . . . . . 61Risk Priority Number . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Do’s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Don’ts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67

3. Design FMEA and Process FMEA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69Differences between Design and Process FMEA . . . . . . . . . . . . . . . . . . . . 72

Part II Define Phase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74

Chapter 4 A. Project Identification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 761. Project Selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 762. Process Elements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773. Benchmarking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78

4. Process Inputs and Outputs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79Systems Thinking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83

5. Owners and Stakeholders. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83

Chapter 5 B. Voice of the Customer (VOC) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 851. Customer Identification. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 852. Customer Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863. Customer Requirements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90

Chapter 6 C. Project Management Basics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 951. Project Charter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95

Project Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 962. Project Scope. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 963. Project Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 974. Project Planning Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 975. Project Documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 986. Project Risk Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 997. Project Closure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101

Chapter 7 D. Management and Planning Tools . . . . . . . . . . . . . . . . . . . . . . . . . . 102Activity Network Diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102Advanced Quality Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103Affinity Diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103


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Auditing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104Benchmarking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106Brainstorming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107Cause-and-Effect Diagram (Fishbone, Ishikawa Diagram). . . . . . . . . . . . . . . . 107

Check Sheets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108Customer Feedback . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109Failure Mode and Effects Analysis (FMEA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109Flowchart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109Focus Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110Force-Field Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112Gantt Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112Graphical Charts, Control Charts, and other Statistical Tools . . . . . . . . . . . . . 113

Variables Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113Attributes Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114

Charts for Other Kinds of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114Interrelationship Diagram (Digraph) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115Interviews . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115Matrix Diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115Multivoting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116Nominal Group Technique. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116PDCA (PDSA and SDCA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117Prioritization Matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119Problem Solving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119Process Decision Program Chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121Project Evaluation and Review Technique (PERT) . . . . . . . . . . . . . . . . . . . . . . . 121

Quality Function Deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121Risk Priority Number . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122Sampling Plan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122Suppliers-Inputs-Process-Outputs-Customers (SIPOC) Diagram . . . . . . . . . . 123Tree Diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123Written Survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125Tool Review. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125

Chapter 8 E. Business Results for Projects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1261. Process Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1272. Communication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129

Chapter 9 F. Team Dynamics and Performance . . . . . . . . . . . . . . . . . . . . . . . . . . 131Team Basics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131Team Formation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131Virtual Teams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1321. Team Stages and Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132

Stage 1: Forming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133Stage 2: Storming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133Stage 3: Norming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133Stage 4: Performing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134Stage 5: Transitioning/Adjourning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134Stage 6: Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134


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Team Leadership . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134Negative Team Dynamics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135

2. Team Roles and Responsibilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1393. Team Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145

Brainstorming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145Nominal Group Technique. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150Multivoting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150

4. Team Communication. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152

Part III Measure Phase. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153

Chapter 10 A. Process Analysis and Documentation . . . . . . . . . . . . . . . . . . . . . 154Process Maps and Flowcharts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154

Written Procedures and Work Instructions. . . . . . . . . . . . . . . . . . . . . . . . . 158

Process Inputs and Outputs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159Relationship Diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166

Chapter 11 B. Probability and Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1681. Basic Probability Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168

Simple Events Probability. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168Compound Events Probability. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169Relations between Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169Mutually Exclusive Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171The Multiplicative Law . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171Permutations and Combinations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172

2. Central Limit Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174Definition and Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174Use of Central Limit Theorem in Control Charts . . . . . . . . . . . . . . . . . . . . 176Use of Central Limit Theorem in Hypothesis Testing . . . . . . . . . . . . . . . . 176Drawing Valid Statistical Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177

Chapter 12 C. Statistical Distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179Binomial . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179Normal Approximations of the Binomial . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182Poisson Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182Normal Distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185

Chi-Square Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187Degrees of Freedom. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188t-Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189F-Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190

Chapter 13 D. Collecting and Summarizing Data. . . . . . . . . . . . . . . . . . . . . . . . 1921. Types of Data and Measurement Scales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1922. Sampling and Data Collection Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193Techniques for Assuring Data Accuracy and Integrity. . . . . . . . . . . . . . . . . . . 194

Types of Sampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195Check Sheets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196

3. Descriptive Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197Cumulative Frequency Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200


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4. Graphical Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201Stem-and-Leaf Plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203Box Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204The Run Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207

Scatter Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208Normal Probability Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214Weibull Plots. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215

Chapter 14 E. Measurement System Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . 217

Chapter 15 F. Process and Performance Capability. . . . . . . . . . . . . . . . . . . . . . . 2371. Process Performance vs. Process Specifications . . . . . . . . . . . . . . . . . . . . . . . 237

Test Results for X – Chart of Length . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239

Test Results for R Chart of Length . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2392. Process Capability Studies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241

Steps for Process Capability Studies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242Sampling with Respect to Statistical Process Control . . . . . . . . . . . . . . . . 2443. Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk) Indices. . . . 245

Process Capability Calculations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2464. Short-Term vs. Long-Term Capability and Sigma Shift . . . . . . . . . . . . . . . . . 247

Short-Term vs. Long-Term Capability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249

Part IV Analyze Phase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253

Chapter 16 A. Exploratory Data Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254

1. Multi-vari studies. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254Procedure for Multi-Vari Sampling Plan . . . . . . . . . . . . . . . . . . . . . . . . . . . 255

2. Correlation and Linear Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263Correlation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263Correlation versus Causation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263Correlation Coefficient . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264Simple Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270Confidence Interval for the Regression Line. . . . . . . . . . . . . . . . . . . . . . . . 274Multiple Linear Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276

Chapter 17 B. Hypothesis Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279

1. Basics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279The Null and Alternative Hypotheses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279Types of Errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280One-Tail Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280Two-Tail Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282Required Sample Size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283Statistical and Practical Significance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283What Is a Desired Power? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284When to Calculate Statistically Significant Sample Size . . . . . . . . . . . . . . 284How to Calculate Statistically Significant Sample Size . . . . . . . . . . . . . . . 284

Power and Sample Size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2852. Tests for Means, Variances, and Proportions. . . . . . . . . . . . . . . . . . . . . . . . . . 285


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Test for Means . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286Hypothesis Tests for Means . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286Student’s t-Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288Confidence Intervals for the Mean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290

Test for Variance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291Confidence Intervals for Variation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292Test for Proportion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293Confidence Intervals for Proportion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293One Population Proportion ( p-Test) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294

Paired-Comparison Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296Two-Mean, Equal Variance t-Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296Two-Mean, Unequal Variance t-Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297Paired t-Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298F-Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300

Single-Factor Analysis of Variance (ANOVA) . . . . . . . . . . . . . . . . . . . . . . . . . . . 301One-Way ANOVA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301Chi Square. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308

Procedure for Chi-Square (c2) Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308Contingency Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311Parametric and Nonparametric Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312

Part V Improve Phase. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313

Chapter 18 A. Design of Experiments (DOE) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3141. Basic Terms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314

Factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314Levels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314Treatment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314Block. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315Experimental Design. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315Experimental Error . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315Planned Grouping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315Randomization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315Replication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315Repetition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315

Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316Effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316DOE Overview—Planning and Organizing Experiments . . . . . . . . . . . . 316

2. DOE Graphs and Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323Main Effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323Interaction Effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325Balanced Designs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327Effects and Confounding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327Design and Analysis of One-Factor Experiments. . . . . . . . . . . . . . . . . . . . 328Design and Analysis of Full Factorial Experiments. . . . . . . . . . . . . . . . . . 330Design and Analysis of Two-Level Fractional Factorial Experiments. . . 333Two-Level Fractional Factorial Experiment Procedure . . . . . . . . . . . . . . . 334Two-Level Fractional Factorial Experiment Conclusions . . . . . . . . . . . . . 336


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Testing Main Effects and Interactions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337Design of Experiments Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337

Chapter 19 B. Root Cause Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338

Phase 1: Identify the Opportunity (Problem Identification) . . . . . . . . . . . . . . . 339Phase 2: Analyze the Current Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340Phase 3: Develop the Optimal Solution(s) (Correction). . . . . . . . . . . . . . . . . . . 341Phase 4: Implement Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341Phase 5: Study the Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341Phase 6: Standardize the Solution (Recurrence Control). . . . . . . . . . . . . . . . . . 341Phase 7: Plan for the Future (Effectiveness Assessment). . . . . . . . . . . . . . . . . . 342Corrective Action System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342Root Cause Analysis Methodology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342Identify Root Cause . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343

Cause-and-Effect Diagram (Fishbone Diagram). . . . . . . . . . . . . . . . . . . . . 343

5 Whys . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345Is/Is Not Comparative Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345Cause-and-Effect (X –Y ) Relational Matrix . . . . . . . . . . . . . . . . . . . . . . . . . . 346Root Cause Tree . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346Failure Mode and Effects Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348

Chapter 20 C. Lean Tools. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3491. Waste Elimination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349

Relevance of Lean to Six Sigma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349Comparison of Lean to Traditional Systems . . . . . . . . . . . . . . . . . . . . . . . . 350

Examples of Lean Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351

Pull Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352Mistake-Proofing (Error-Proofing or Poka-Yoke) . . . . . . . . . . . . . . . . . . . . 3535S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354Visual Factory. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354Kaizen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354Kanban . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355Total Productive Maintenance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355Standard Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355

2. Cycle-Time Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356Standard Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356

Process Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358SIPOC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358Process Stability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358Process Capability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359Process Capacity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359Other Factors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360Work Flow Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360Countermeasure Activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363Quick Changeover/Setup Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364Cycle Time Reduction Through Constraints Management. . . . . . . . . . . . 365

3. Kaizen and Kaizen Blitz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366Incremental Continuous Improvement (Kaizen) . . . . . . . . . . . . . . . . . . . . . . . . 366Kaizen Blitz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366


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Breakthrough Continuous Improvement (Kaikaku) . . . . . . . . . . . . . . . . . . . . . 367Organizing for Kaizen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369Kaizen Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369

Part VI Control Phase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373

Chapter 21 A. Statistical Process Control (SPC). . . . . . . . . . . . . . . . . . . . . . . . . . 3741. SPC Basics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374

Statistical Process Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374SPC Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375Objectives and Benefits. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 376Process Capability: Special versus Common Causes . . . . . . . . . . . . . . . . . 377Process Data: Discrete versus Continuous. . . . . . . . . . . . . . . . . . . . . . . . . . 378Discrete Data (Attributes Control Charts) . . . . . . . . . . . . . . . . . . . . . . . . . . 380

Continuous Data (Variables Control Charts) . . . . . . . . . . . . . . . . . . . . . . . . 380Process Behavior Charts (Control Charts) . . . . . . . . . . . . . . . . . . . . . . . . . . 3802. Rational Subgrouping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385

Rational Subgrouping Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386Rational Subgrouping Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387

3. Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388Selection and Application of Control Charts . . . . . . . . . . . . . . . . . . . . . . . . 388Variables Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388Control Limits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389X – and R Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389

X – and s Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392

Individuals and Moving Range Control Charts . . . . . . . . . . . . . . . . . . . . . 394Median Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395Attributes Control Charts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395 p Control Charts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397np Control Charts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399u Control Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401c Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402Analysis of Control Charts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404

Chapter 22 B. Control Plan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413Examples of Process Controls . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418

Dynamic Control Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418Gage Control Plan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420Standard Operating Procedures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420Continual Improvement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421Process Improvement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422

Chapter 23 C. Lean Tools for Process Control . . . . . . . . . . . . . . . . . . . . . . . . . . . 4241. Total Productive Maintenance (TPM) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424

Loss Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427Overall Equipment Effectiveness (OEE). . . . . . . . . . . . . . . . . . . . . . . . . . . . 429

2. Visual Factory. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431Visual Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431Visual Workplace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 432


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Part VII Appendices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439

Appendix A ASQ Code of Ethics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 440

Appendix B The ASQ Certification Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442

Appendix C Six Sigma Green Belt Body of Knowledge Map2006–2014 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451

Appendix D ASQ Certified Six Sigma Green Belt (CSSGB) Body ofKnowledge (2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 458

Appendix E ASQ Certified Six Sigma Yellow Belt (CSSYB) Body ofKnowledge (2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466

Appendix F ASQ Certified Six Sigma Black Belt (CSSBB) Body ofKnowledge (2015) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471

Appendix G ASQ Certified Six Sigma Master Black Belt (CSSMBB)Body of Knowledge (2010) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 482

Appendix H ASQ Honorary Members. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 492

Appendix I Control Limit Formulas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 494

Appendix J Constants for Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495

Appendix K Areas under Standard Normal Curve. . . . . . . . . . . . . . . . . . . . . . . 496

Appendix L F Distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 500

Appendix M Binomial Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 510Appendix N Chi-Square Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 512

Appendix O Exponential Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 514

Appendix P Poisson Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 516

Appendix Q Values of the t -Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518

Appendix R CSSGB Handbook CD-ROM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520

Appendix S Acronym List. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 522

Appendix T Quality Gamebox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 552Endnotes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 555Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 587


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List of Figures and Tables

Table 1.1 Some approaches to quality over the years. . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Figure 1.1 Example of a process flowchart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Figure 1.2 Relationships between systems, processes, subprocesses, and steps. . . . . . 17

Figure 1.3 A feedback loop. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

Figure 1.4 Categories of inputs to a process step. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

Figure 1.5 Traditional quality cost curves. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Figure 1.6 Modern quality cost curves. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Table 1.2 Risk analysis table. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Figure 1.7 A format for SWOT analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Figure 2.1 TPS house. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32

Figure 2.2 7S adaptation (Hirano). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

Figure 2.3 A sea of inventory often hides unresolved problems. . . . . . . . . . . . . . . . . . . . 42

Figure 2.4 C-shaped manufacturing cell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

Figure 2.5 Common symbols used in value stream mapping. . . . . . . . . . . . . . . . . . . . . . 46

Figure 2.6 Value stream map example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47

Table 3.1 Design objectives and outputs traceability matrix. . . . . . . . . . . . . . . . . . . . . . 54

Figure 3.1 Simple risk matrix. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57

Figure 3.2 Sample DFMEA headers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

Figure 3.3 Sample PFMEA headers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60

Figure 3.4 FMEA flowchart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61

Figure 3.5 FMEA flowchart in line with common FMEA form. . . . . . . . . . . . . . . . . . . . . 62

Table 3.2 Steps in performing a design or process FMEA. . . . . . . . . . . . . . . . . . . . . . . . 63

Table 3.3 Possible severity evaluation criteria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65

Table 3.4 Possible occurrence evaluation criteria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65

Table 3.5 Possible detection evaluation criteria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65

Figure 3.6 Example of RPN calculations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66

Figure 3.7 Example of FMEA reporting and RPN chart. . . . . . . . . . . . . . . . . . . . . . . . . . . 68

Figure 3.8 A typical risk action plan Gantt chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68

Figure 3.9 A typical top-level management review report for FMEA progress. . . . . . . 69

Figure 3.10 An example of a partially fi lled-in FMEA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70

Figure 3.11 This example of a tree diagram is a fault tree (used to study defects

and failures). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71


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Figure 3.12 Common types of FMEA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71

Figure 4.1 Process diagram/model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77

Table 4.1 Tips for benchmarking. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80

Figure 4.2 Basic SIPOC diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82Figure 5.1 Example of a QFD matrix for an animal trap. . . . . . . . . . . . . . . . . . . . . . . . . . . 89

Figure 5.2 Map to the entries of the QFD matrix illustrated in Figure 5.1. . . . . . . . . . . . 90

Figure 5.3 Sequence of QFD matrices for product, part, and process planning. . . . . . . 90

Figure 5.4 Example of a completed QFD matrix. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92

Figure 5.5 QFD stage flow and relationships. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93

Figure 5.6 QFD input–output requirements matrix. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93

Table 5.1 QFD value characteristics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94

Figure 6.1 Risk assessment assignment matrix. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100

Figure 7.1 Example of an activity network diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103Figure 7.2 Example of an affinity diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104

Figure 7.3 Example of a cause-and-effect diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108

Figure 7.4 Example of a check sheet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109

Figure 7.5 High-level flowchart for an order-filling process. . . . . . . . . . . . . . . . . . . . . . . 110

Figure 7.6 Detailed flowchart for the order-filling process. . . . . . . . . . . . . . . . . . . . . . . . 111

Figure 7.7 Example of force-field analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112

Figure 7.8 Gantt chart example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112

Figure 7.9 Graphical representation of question responses. . . . . . . . . . . . . . . . . . . . . . . . 114

Figure 7.10 Example interrelationship digraph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116Figure 7.11 Example matrix diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117

Figure 7.12 PDCA cycle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118

Figure 7.13 Prioritization matrix example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119

Figure 7.14 Example process decision program chart (PDPC). . . . . . . . . . . . . . . . . . . . . . 121

Figure 7.15 PERT/critical path chart example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122

Figure 7.16 SIPOC diagram with requirements capture. . . . . . . . . . . . . . . . . . . . . . . . . . . 124

Figure 7.17 This example of a tree diagram is a fault tree (used to study defectsand failures). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125

Table 9.1 Common negative team dynamics and potential countermeasures. . . . . . . 136Figure 9.1 Typical large Six Sigma organization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140

Figure 9.2 Typical small Six Sigma organization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141

Table 9.2 Typical Six Sigma roles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141

Figure 9.3 Multivoting ranked approach example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151

Figure 9.4 Multivoting weighted approach example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152

Figure 10.1 Symbols commonly used in flowcharts and process maps. . . . . . . . . . . . . . . 155

Figure 10.2 Basic flowchart for warranty product replacement. . . . . . . . . . . . . . . . . . . . . 156

Figure 10.3 Cross-functional or swim lane f lowchart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157

Figure 10.4 Empty cause-and-effect diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161


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Figure 10.5 Cause-and-effect diagram after a few steps of a brainstorming session. . . . 161

Figure 10.6 Pareto chart of final assembly inspection defect codes. . . . . . . . . . . . . . . . . . 163

Figure 10.7 Pareto chart of final assembly inspection defect codes (weighted). . . . . . . . 164

Figure 10.8 Example of a Pareto chart of a too-detailed defect summary. . . . . . . . . . . . . 165Figure 10.9 Example of a measles chart (pictorial check sheet). . . . . . . . . . . . . . . . . . . . . . 166

Figure 10.10 Relationship matrix. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167

Figure 11.1 Venn diagram. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169

Figure 11.2 Mutually exclusive events. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171

Figure 11.3 Various populations and sampling distributions of the mean forselected sample sizes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175

Table 11.1 Descriptive versus analytical statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177

Table 11.2 Sample versus population notations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178

Table 12.1 Formula, mean, and variance of certain distri butions. . . . . . . . . . . . . . . . . . . . 179

Figure 12.1 Binomial distri bution. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180

Figure 12.2 Binomial distr ibution using Microsoft Excel. . . . . . . . . . . . . . . . . . . . . . . . . . . 181

Figure 12.3 Poisson distribution. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183

Figure 12.4 Poisson distribution using Microsoft Excel. . . . . . . . . . . . . . . . . . . . . . . . . . . . 184

Figure 12.5 Normal distribution curve. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185

Figure 12.6 Normal probability density function and cumulative densityfunction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185

Figure 12.7 Chi-square distribution example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188

Figure 12.8 F-distribution with varying degrees of freedom. . . . . . . . . . . . . . . . . . . . . . . . 191

Table 13.1 Measurement scales. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

Table 13.2 Coding–decoding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196

Figure 13.1 Example of a check sheet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197

Figure 13.2 Example of a data set as illustrated by a frequency distribution,individual plot, histogram, and probability plot. . . . . . . . . . . . . . . . . . . . . . . . 198

Figure 13.3 Cumulative frequency distribution in table and graph form. . . . . . . . . . . . . 200

Table 13.3 Comparison of various graphical methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . 201

Figure 13.4 Histogram and stem-and-leaf plot comparison. . . . . . . . . . . . . . . . . . . . . . . . . 204

Figure 13.5 Box plot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205

Figure 13.6 Example box plot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205

Figure 13.7 Box plots versus dot plots. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

Table 13.4 Example of yield data from three periods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

Figure 13.8 Box plot by period. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207

Figure 13.9 Run chart analysis (using statistical software). . . . . . . . . . . . . . . . . . . . . . . . . 208

Figure 13.10 Scatter diagrams. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209

Table 13.5 Mold process data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210

Figure 13.11 Examples of scatter diagrams (variables versus effects). . . . . . . . . . . . . . . . . 210

Figure 13.12 Correlation between variables and effects (using statistical software). . . . . 211

Figure 13.13 Example scatter plots—exercise versus weight loss. . . . . . . . . . . . . . . . . . . . . 212


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List of Figures and Tables xix

Figure 13.14 Normal probability plot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214

Figure 13.15 Example of Weibull plot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216

Figure 14.1 Gage repeatability. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218

Figure 14.2 Gage reproducibility. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219Figure 14.3 Gage R&R data collection sheet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220

Figure 14.4 Gage R&R data collection sheet with data entered and calculationscompleted. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222

Figure 14.5 Gage repeatability and reproducibility report. . . . . . . . . . . . . . . . . . . . . . . . . . 223

Figure 14.6 Gage repeatability and reproducibility report with calculations. . . . . . . . . . 224

Figure 14.7 Example gage repeatability and reproducibility analysis. . . . . . . . . . . . . . . . 225

Figure 14.8 GR&R report using statistical software. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226

Figure 14.9 Sources of measurement variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227

Figure 14.10 Observed versus actual capability. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227

Figure 14.11 GR&R sample selection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228

Table 14.1 GR&R random Excel sheet example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229

Table 14.2 Measurement test data for linearity and bias. . . . . . . . . . . . . . . . . . . . . . . . . . 231

Figure 14.12 Linearity and bias analysis using statistical software. . . . . . . . . . . . . . . . . . . 232

Figure 14.13 Minitab orthogonal regression example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233

Figure 14.14 Attribute agreement analysis using statistical software. . . . . . . . . . . . . . . . . 234

Figure 15.1 Control limit versus specification limit grid. . . . . . . . . . . . . . . . . . . . . . . . . . . 238

Figure 15.2 Example of X –

and R control chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

Figure 15.3 Process capability report for shaft machining. . . . . . . . . . . . . . . . . . . . . . . . . . 243Figure 15.4 Types of sampling for SPC data collection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244

Figure 15.5 Process capability scenarios. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246

Figure 15.6 Process performance indices Pp, Ppk, and Cpm. . . . . . . . . . . . . . . . . . . . . . . . . . 249

Figure 15.7 Process performance 1.5-sigma shift. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250

Figure 15.8 Short-term versus long-term performance with 1.5-sigma shift. . . . . . . . . . . 251

Table 16.1 Types of variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255

Figure 16.1 Variation within samples. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255

Figure 16.2 Excessive variability (part is tapered). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256

Figure 16.3 Less variability (center is thicker). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256Figure 16.4 Variability shift over time (part is getting larger). . . . . . . . . . . . . . . . . . . . . . . 256

Figure 16.5 Stainless steel casting with critical inner diameter. . . . . . . . . . . . . . . . . . . . . . 257

Figure 16.6 Sectional views of stainless steel casting. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258

Figure 16.7 Data collection sheet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259

Table 16.2 Measurement data from five parts produced during one shift. . . . . . . . . . . 259

Figure 16.8 Graph of data from Table 16.2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259

Figure 16.9 Part-to-part variation (graph of data from Table 16.2). . . . . . . . . . . . . . . . . . . 260

Table 16.3 Data from five parts produced during one shift using precisioncastings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260

Figure 16.10 Graph of data from Table 16.3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261


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xx List of Figures and Tables

Figure 16.11 Graph of data from Table 16.3 with orientation measurementnumbers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262

Table 16.4 Data from five parts after pressure-washing. . . . . . . . . . . . . . . . . . . . . . . . . . . 262

Table 16.5 Examples of dependent and independent variables. . . . . . . . . . . . . . . . . . . . . 263

Figure 16.12 The four types of correlation in scatter plots. . . . . . . . . . . . . . . . . . . . . . . . . . . 264

Table 16.6 Data table for correlation calculation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267

Figure 16.13 CORREL function in Excel. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269

Table 16.7 Least squares example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271

Figure 16.14 Regression dialog box. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273

Figure 16.15 Regression data analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273

Figure 16.16 Simple regression results. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274

Figure 16.17 A schematic showing variation in y as a function of x. . . . . . . . . . . . . . . . . . . 277

Table 17.1 Error matrix. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280

Figure 17.1 One-tail test: (a) right-tailed test and (b) left-tailed test. . . . . . . . . . . . . . . . . . 281

Figure 17.2 Two-tail test. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282

Figure 17.3 Power curve. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285

Figure 17.4 Excel’s FINV function. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306

Figure 17.5 Setting up a one-way ANOVA in Excel. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306

Figure 17.6 The ANOVA: Single Factor dialog box. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307

Figure 17.7 Final results of one-way ANOVA in Excel. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307

Figure 17.8 Expected versus observed chart (Minitab output). . . . . . . . . . . . . . . . . . . . . . 309

Figure 17.9 Excel’s CHINV function. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311Figure 18.1 Main effects graphs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324

Table 18.1 A 23 full factorial design using + and – format. . . . . . . . . . . . . . . . . . . . . . . . . 325

Table 18.2 A 23 full factorial design showing interaction columns. . . . . . . . . . . . . . . . . . 326

Table 18.3 Half fraction of 23 (also called a 23–1 design). . . . . . . . . . . . . . . . . . . . . . . . . . . . 327

Table 18.4 Half fraction of 23 design with interaction columns filled in. . . . . . . . . . . . . 327

Table 18.5 Latin square design. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329

Figure 18.2 Graph of temperature and moisture content. . . . . . . . . . . . . . . . . . . . . . . . . . . 330

Table 18.6 A 22 full factorial completely randomized experiment with results. . . . . . . 330

Table 18.7 A 2

2

full factorial completely randomized experiment with main andinteraction effects. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331

Table 18.8 ANOVA outcomes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337

Figure 19.1 Comparative analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345

Figure 19.2 Cause-and-effect relational matrix. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346

Figure 19.3 Root cause tree example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347

Figure 20.1 Project framework. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350

Figure 20.2 Lean Six Sigma objectives. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350

Figure 20.3 Poka-yoke example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353

Figure 21.1 Average shifting, variation stable. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 378

Figure 21.2 Average stable, variation changing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379


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List of Figures and Tables xxi

Figure 21.3 Average shifting, variation changing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379

Figure 21.4 Average stable, variation stable. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380

Figure 21.5 An operating characteristic (OC) curve. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382

Figure 21.6 X

–

and R control chart example with data plotted. . . . . . . . . . . . . . . . . . . . . . . 383Figure 21.7 Rational subgrouping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387

Figure 21.8 Rational subgrouping with randomness. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388

Figure 21.9 Measurement data entered in an X –

and R control chart. . . . . . . . . . . . . . . . . 391

Figure 21.10 Completed X –

and R control chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392

Figure 21.11 Example of an X –

and s control chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393

Figure 21.12 Example of an individuals and moving range control chart. . . . . . . . . . . . . . 394

Figure 21.13 Example of a median control chart with associated range gage. . . . . . . . . . . 396

Figure 21.14 Example of a p-chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398

Figure 21.15 Example of an np-chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400Figure 21.16 Example of a u-chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401

Figure 21.17 Example of a c-chart. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403

Figure 21.18 One point more than 3σ from the centerline (either side) . . . . . . . . . . . . . . . 406

Figure 21.19 Nine points in a row on the same side of the centerline . . . . . . . . . . . . . . . . . 406

Figure 21.20 Six points in a row all increasing or decreasing. . . . . . . . . . . . . . . . . . . . . . . . 407

Figure 21.21 Fourteen points in a row alternating up and down. . . . . . . . . . . . . . . . . . . . . 407

Figure 21.22 Two out of three points more than 2σ from the centerline (same side). . . . . 407

Figure 21.23 Four out of five points more than 1σ from the centerline (same side). . . . . . 408

Figure 21.24 Fifteen points in a row within 1σ of the centerline (either side). . . . . . . . . . . 408Figure 21.25 Eight points in a row more than 1σ from the centerline (either side). . . . . . 408

Figure 21.26 Points beyond the control limits. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409

Figure 21.27 Seven points in a row on one side of the average. . . . . . . . . . . . . . . . . . . . . . . 409

Figure 21.28 Seven points in a row that are consistently increasing or consistentlydecreasing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409

Figure 21.29 Over 90 percent of plotted points are in the middle third of thecontrol limit region (for 25 or more subgroups). . . . . . . . . . . . . . . . . . . . . . . . 410

Figure 21.30 Fewer than 40 percent of the plotted points are in the middle third ofthe control limit region (for 25 or more subgroups). . . . . . . . . . . . . . . . . . . . . 410

Figure 21.31 Obvious nonrandom patterns such as cycles. . . . . . . . . . . . . . . . . . . . . . . . . . . 410

Figure 22.1 A sample control plan template. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415

Figure 22.2 An example control plan—first page. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 416

Figure 22.3 An example control plan—second page. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417

Table 22.1 Process FMEA and control plan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420

Figure 23.1 The house of lean. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434

Table 23.1 Lean Six Sigma tools. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435


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xxii

Preface to the ASQCertified Six Sigma Green

Belt Handbook, Second Edition

Welcome to The Certified Six Sigma Green Belt Handbook , Second Edition.This reference manual is designed to help those interested in passing theAmerican Society for Quality’s (ASQ) certification exam for Six Sigma

Green Belts and others who want a handy reference to the appropriate materials

needed to conduct successful Green Belt projects. This book is not intended as a beginner’s Six Sigma Green Belt book, but a reference handbook on running proj-ects for those who are already knowledgeable about process improvement andvariation reduction.

The primary layout of the handbook follows the American Society for QualityBody of Knowledge (BoK) for the Certified Six Sigma Green Belt (CSSGB) updatedin 2014. The authors were involved with the first edition handbook, and have uti-lized first edition user comments, numerous Six Sigma practitioners, and theirown personal knowledge gained through helping others prepare for exams to bring together a handbook that we hope will be very beneficial to anyone seek-ing to pass the ASQ or other Green Belt exams. In addition to the primary text, we

have added a number of new appendixes, an expanded acronym list (both print[Appendix S] and electronic), new practice exam questions, and other additionalmaterials to the CD-ROM. Of special note on the CD-ROM are introductory Leanvideo clips from the Gemba Academy (Appendix R) that should be very usefulin understanding applications of lean to your organization. The videos are fromeach of the groupings that Gemba Academy uses in their business, and these can be found on YouTube. Our CD-ROM contains clean, crisp MP4s of those videos for better clarity. Another new feature of this handbook is the offer from PQ Systems,Inc., that anyone who purchases this book can receive a free copy of the QualityGamebox software. Please see Appendix T for details on receiving your free copy.

The CD-ROM has been expanded into two disks, and a layout diagram isavailable in Appendix R. Given that this is an electronic format, you are encour-aged to search the files for any number of forms, examples, templates, videos, andother useful tidbits that can help in running projects and preparing for the exam.One caution—you are not allowed to take any of the exam questions from theCD-ROM or any other simulation of questions into the ASQ exam!

WHERE ARE YOU IN YOUR CAREER?

As your professional career develops, you may wish to choose to use the toolsyou have learned in advancing your own career. Some have called this career


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Preface to the ASQ Certified Six Sigma Green Belt Handbook , Second Edition xxiii

AQP. Please see Appendix B to see how ASQ conducts exams to be able to advanceyour career.

Level of

accomplishment

ASQ’s CQE,

CRE, CSQE,

CMQ/OE, CSSMBB

ASQ’s CQA, CHA, CBA,

CSSBB, CPGP

ASQ’s CSSGB, CCT

ASQ’s CSSYB, CQT, CQI, CQPA, CQIA

CHANGES TO THE BoK AND THUS THIS HANDBOOK

A detailed cross-matrix of the updated BoK and the original was developed by

Tom Kubiak and can be found in Appendix C.Some of the highlighted changes include: The section on tools used in Six Sigmahas been moved from Chapter 9 in the first handbook to Chapter 7 to align withthe new BoK. We have also added an acronym list as Appendix U as well as a fileon the CD-ROM on disk one with hot links to some of the sources.

Other major changes to the 2015 CSSGB BoK include:

Content new to 2015 CSSGB BoK

BoK area Topic Subtopic Chapter Description Bloom’s Taxonomy

II E 2 8 Communication Apply

V B Root cause Analyzeanalysis

V C 2 20 Cycle time Analyzereduction

V C 3 20 Kaizen and Applykaizen blitz

VI C 1 23 Total productive Understandmaintenance(TPM)

VI C 2 23 Visual factory Understand


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Content eliminated from 2006 CSSGB BoK

BoK area Topic Subtopic Chapter Description Bloom’s Taxonomy

II A 5 4 Analyze Analyzecustomer data

III B 1 11 Drawing valid Applystatisticalconclusions

III F 6 15 Process Applycapability forattributes data

V C 20 Implement Createand validatesolutions

xxiv Preface to the Certified Six Sigma Green Belt Handbook, Second Edition


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xxv

I would like to thank my coauthors Govind and Dan for their ongoing dedicationas we strive to continually improve this handbook and help those who are striv-ing to achieve the CSSGB level. The editorial staff at ASQ Quality Press has helpedguide us through the development of this second edition with patience and guid-

ance. I know it became frustrating for them at times as we moved through theprocess, and hopefully, we will be able to achieve a high level of quality in main-taining this reference handbook for the Six Sigma community. Thus, we do requestyour help, dear reader; please give us feedback at [email protected].

As in any work of substance, there are a lot of people involved. The authorswould like to also thank all these people for their time and support. The reviewersfor this second edition worked hard with us to ensure that we covered the ASQCSSGB BoK well. Another helpful ASQ staff person was Sally Harthun of the Cer-tification Committee who, along with the ASQ volunteers from the Green BeltCommittee, was as open about the CSSGB BoK as ASQ policies and proceduresallow. We also had many individuals assist this ongoing project—from helping to

develop practice exam questions (for the first edition, we actually duplicated thesame process used by the ASQ National Certification Committee) to developingwhite papers and other tools for Green Belt use—as well as a college class fromDavenport College in Grand Rapids, Michigan, who, along with their instruc-tor, Mr. Don Brecken, worked on creating a paper for the CD-ROM. We want toacknowledge everyone for their time, effort, and assistance in helping to bring thishandbook to potential Green Belts everywhere.

—Roderick Munro

I thank my mom Vasantha and dad Ramu for providing me with the right edu-

cational foundation and morals, and my wife Anitha and my children Vibha andVivek for their unconditional love and support.

I want to thank my employer SunPower Corporation for the opportunity andcontinual support of my professional development. I want to acknowledge sev-eral quality professionals from ASQ and other professional organizations whohave provided continuous inspiration and encouragement in writing this book.Thanks to my fellow authors Rod and Dan, and Paul and Matt at Quality Press fortheir patience, support, and guidance.

—Govind Ramu

Acknowledgments


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xxvi Acknowledgments

I would like to acknowledge my wife, Susan, my children, Ryan and Brooke, andmy extended family members for their personal encouragement. The ongoing andcontinuous support of my present and past employers and clients, my professionalmentors throughout my career, and my peers and partners within the Quality

community, is most appreciated. I would especially like to thank the AmericanSociety for Quality for creating and sustaining the extensive and diverse array ofmember benefits within ASQ, which have enabled my growth as a Fellow Mem- ber, a practitioner, a communicator, and a life-long learner. Collaborations withprominent and prolific authors and publishers like Rod, Govind, Paul, and Matthave inspired my efforts and have been among the highlights of my service withinthe Quality profession.

—Daniel Zrymiak

The authors would like to acknowledge the following CSSGB HB users who pro-vided inputs and feedback on the errors from the first edition. We have made besteffort to include everyone who provided inputs.

Frank Alt Mike McWilliams

Michael J. Donohoe Veena Nithoo

Jim Ogren Sweeny Chhabra

Arulalan Ram Eric Gemunder

Eric P. Wayner Lester Ramirez Pérez

Eric J. Lim Joao Felizardo

Alejandro Ramirez Scott Lawley

Sharon Johnson MK

Jennifer Park Martin Michelle Gabriel

Doreen J. Harris Dermot Freeman & Associates

Chris Jespersen Jason Gorman

Timothy Schubach Greg Crook


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1

Part I

Overview: Six Sigmaand the Organization

Chapter 1 A. Six Sigma and Organizational Goals

Chapter 2 B. Lean Principles in the Organization

Chapter 3 C. Design for Six Sigma (DFSS)Methodologies

As you work with this book, each chapter parallels a section of the ASQBody of Knowledge (BoK) for the Certified Six Sigma Green Belt exam.

Part I is an overview of the Six Sigma process, lean process, and basicsof the Design for Six Sigma systems. It covers approximately 13 of the 100 ques-tions that will be asked on the ASQ CSSGB Exam.

The BoK was slightly reorganized for Part I and now includes information onlean.

Auth

the certifieeed six sigma handbook

Documents