The Certified Six Sigma Green Belt Handbook

Front Cover
ASQ Quality Press, 2008 - Business & Economics - 480 pages
7 Reviews
This reference manual is designed to help those interested in passing the American Society for Quality’s (ASQ) certification exam for Six Sigma Green Belts, those who may need to train future green belts, and others who want a handy reference to the appropriate materials needed to conduct successful green belt projects. This latest entry in ASQ's popular series of handbooks explicitly follows the certification's Body of Knowledge and addresses each topic to exactly the level green belts need.

From lean and project management to statistics and data analysis, the DMAIC process is explained in a clear and insightful manner. Figures, tables, references, and useful appendices only add to this book's comprehensiveness. The CD-ROM has more than just sample questions! The authors have included dozens of useful files, such as case studies, articles, and blank forms, as well as a hot link to the Web site listed below. Anything except exam questions can be printed out and used in the ASQ certification exam.
  

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Review: The Certified Six SIGMA Green Belt Handbook

User Review  - Gio - Goodreads

A basic business statistics book would help with this book. Read full review

Review: The Certified Six SIGMA Green Belt Handbook

User Review  - Olyj - Goodreads

Little hard understanding the Stat portion of this book. Overall, good resource for ASQ Six Sigma Green Belt certification exam. Read full review

Contents

A Six Sigma and Organizational Goals
2
2 ORGANIZATIONAL DRIVERS AND METRICS
18
3 ORGANIZATIONAL GOALS AND SIX SIGMA PROJECTS
19
B Lean Principles in the Organization
23
2 VALUEADDED AND NONVALUEADDED ACTIVITIES
30
3 THEORY OF CONSTRAINTS
34
C Design for Six Sigma DFSS in the Organization
37
2 DESIGN AND PROCESS FAILURE MODE AND EFFECTS ANALYSIS DFMEA AND PFMEA
40
B Probability and Statistics
142
2 CENTRAL LIMIT THEOREM AND SAMPLING DISTRIBUTION OF THE MEAN
143
3 BASIC PROBABILITY CONCEPTS
146
C Collecting and Summarizing Data
153
2 DATA COLLECTION METHODS
155
3 TECHNIQUES FOR ASSURING DATA ACCURACY AND INTEGRITY
156
4 DESCRIPTIVE STATISTICS
157
5 GRAPHICAL METHODS
160

3 ROAD MAPS FOR DFSS
42
Six Sigma Define
47
A Process Management for Projects
50
2 OWNERS AND STAKEHOLDERS
54
3 IDENTIFY CUSTOMERS
55
4 COLLECT CUSTOMER DATA
56
5 ANALYZE CUSTOMER DATA
57
B Project Management Basics
58
2 PROJECT SCOPE
59
3 PROJECT METRICS
60
5 PROJECT DOCUMENTATION
61
6 PROJECT RISK ANALYSIS
62
7 PROJECT CLOSURE
64
C Management and Planning Tools
65
D Business Results for Projects
66
1 PROCESS PERFORMANCE
67
2 FAILURE MODE AND EFFECTS ANALYSIS FMEA
69
E Team Dynamics and Performance
70
VIRTUAL TEAMS
71
2 SIX SIGMA AND OTHER TEAM ROLES AND RESPONSIBILITIES
78
3 TEAM TOOLS
84
4 COMMUNICATION
89
Commonly Used Define Phase Tools
91
AFFINITY DIAGRAMS
92
BENCHMARKING
94
BRAINSTORMING
95
CAUSEANDEFFECT DIAGRAM FISHBONE DIAGRAM OR ISHIKAWA DIAGRAM
97
CHECK SHEETS
99
FAILURE MODE AND EFFECTS ANALYSIS
100
FLOWCHART
105
FOCUS GROUPS
107
GANTT CHART
109
GRAPHICAL CHARTS CONTROL CHARTS AND OTHER STATISTICAL TOOLS
110
INTERRELATIONSHIP DIGRAPHS
112
INTERVIEWS
113
MULTIVOTING
114
PROBLEM SOLVING
115
PROCESS DECISION PROGRAM CHART
116
QUALITY FUNCTION DEPLOYMENT
118
RISK PRIORITY NUMBERMATRIX
122
SUPPLIERINPUTSPROCESSOUTPUTSCUSTOMERS SIPOC DIAGRAM
123
WRITTEN SURVEYS
125
Six Sigma Measure
127
A Process Analysis and Documentation
128
2 PROCESS INPUTS AND OUTPUTS
133
D Probability Distributions
176
E Measurement System Analysis
188
F Process Capability and Performance
206
2 PROCESS PERFORMANCE VS SPECIFICATION
209
3 PROCESS CAPABILITY INDICES
213
4 PROCESS PERFORMANCE INDICES
215
5 SHORTTERM VS LONGTERM CAPABILITY
217
6 PROCESS CAPABILITY FOR ATTRIBUTES DATA
219
Six Sigma Analyze
223
A Exploratory Data Analysis
224
2 SIMPLE LINEAR CORRELATION AND REGRESSION
232
B Hypothesis Testing
248
2 TESTS FOR MEANS VARIANCES AND PROPORTIONS
252
3 PAIREDCOMPARISON TESTS
260
4 SINGLEFACTOR ANALYSIS OF VARIANCE ANOVA
264
5 CHI SQUARE
270
Six Sigma Improve Control
275
A Design of Experiments DOE
276
2 MAIN EFFECTS
284
B Statistical Process Control SPC
299
2 RATIONAL SUBGROUPING
309
3 SELECTION AND APPLICATION OF CONTROL CHARTS
311
4 ANALYSIS OF CONTROL CHARTS
327
C Implement and Validate Solutions
336
D Control Plan
342
Appendices
357
ASQ Code of Ethics
358
Six Sigma Green Belt Certification Body of Knowledge
360
Control Limit Formulas
368
Constants for Control Charts
369
Areas under Standard Normal Curve
370
F Distributions
374
Binomial Distribution
384
ChiSquare Distribution
386
Exponential Distribution
388
Poisson Distribution
390
Values of the t Distribution
392
Endnotes
395
The Six Sigma Acronym List
397
Glossary
407
References
433
Index
435
I
437
Copyright

Common terms and phrases

About the author (2008)

Roderick A. Munro is a business improvement coach with RAM Q Universe, Inc. He is also the author of Automotive Internal Auditor Pocket Guide: Process Auditing to ISO/TS 16949:2002, Six Sigma for the Office, and Six Sigma for the Shop Floor (one of the all-time top-ten selling books on Six Sigma), and co-author of The ISO/TS 16949 Answer Book (Paton Press, 2004). He is an ASQ Fellow, Certified Quality Engineer, Certified Quality Auditor, and Certified Manager of Quality and Operational Excellence. Munro is also a CQI Fellow (England) and was named Quality Professional of the Year for 2006 by Quality Magazine. Matthew J. Maio is a quality assurance manager at Raytheon Integrated Defense Systems. Previously, he was the corporate quality manager for JT3 LLC. He started his quality career as a technician, project engineer, senior engineer, and then principal engineer at Honeywell. He holds bachelor’s degrees in business administration and in computer science, both from the College of Santa Fe. He is an ASQ Certified Six Sigma Black Belt, Six Sigma Green Belt, Quality Auditor, Quality Manager, and Software Quality Engineer. He is a Senior member of ASQ, and previously served as a regional director and member of the board of directors. Maio has also received Lean Enterprise recognition from Lean Enterprise Training, and is a member of the International Test and Evaluation Association and the Directed Energy Professional Society. Mohamed B. Nawaz is director at Venus Groups. He was previously the group quality manager of Chassis Products Division at Federal Mogul, then quality manager and senior quality engineer at Dana Corporation. He holds a bachelor’s degree in applied sciences from M. K. University and a master’s degree in materials engineering from New Mexico Tech. He is an ASQ Certified Six Sigma Black Belt, Quality Manager, and Quality Engineer. He was an Oklahoma Quality Award examiner and team leader in 2002 and 2003. Govindarajan (Govind) Ramu is a quality manager and Six Sigma Master Black Belt at JDS Uniphase Corporation. He is a licensed professional engineer (mechanical) from Ontario, Canada, and holds certifications in statistical quality control and operations research from ISI India. He is an ASQ Certified Reliability Engineer, Software Quality Engineer, Quality Auditor, Six Sigma Black Belt, Quality Engineer, and Quality Manager. He is a Senior member of ASQ and a registered QMS 2000 principal auditor from IRCA (UK). More biographical information can be found at http://www.asq.org/sixsigma/about/govind.html. Daniel J. Zrymiak is software delivery manager at Accenture. He holds a bachelor degree of commerce from the University of Saskatchewan. He is an ASQ Certified Software Quality Engineer, Quality Engineer, Quality Auditor, Quality Manager, Quality Auditor-HACCP, Six Sigma Black Belt, and Biomedical Auditor. Zrymiak is also a part-time instructor at the University of British Columbia, British Columbia Institute of Technology, and Kwantlen University, designing and delivering courses for software QA and statistics. He is a Senior member of ASQ and the year 2000 recipient of the ASQ Feigenbaum Medal, presented to the individual 35 years of age or younger who has displayed outstanding characteristics of leadership, professionalism, and potential in the field of quality.

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