Six Sigma Master Black Belt Requirements.pdf - Juran Institute

Master Black Belt
TRAINING REQUIREMENTS
There are five training phases:
Define, Measure, Analyze, Improve/Design, and Control/Verify.
For each phase, the Master Black Belt (MBB) candidate must complete:
Reading Assignments (Part One)
Case Studies Development (Part Two)
Literature Review (Part Three)
Benchmarking Assignment (Part Four)
Minitab Exercises (Part Five)
Define Measure Analyze Improve
/Design
Control/
Verify
Reading Assignments: Part One X X X X X
Case Studies Development: Part Two X X X X X
Literature Review: Part Three X X X X X
Benchmarking Assignment: Part Four X X X X X
Minitab Exercises: Part Five X X X X
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MBB Training Requirements 2006 Page 1

Master Black Belt
TRAINING REQUIREMENTS
PART ONE: READING ASSIGNMENTS
Reading assignments are listed for each phase of the Six Sigma methodology. The six
reference books are listed below:
• Agresti, Alan (1996), An Introduction to Categorical Data Analysis, John Wiley and
Sons, New York, NY.
• DeVor, Richard E; Tsong-how Chang, and John W. Sutherland (1992), Statistical Quality
Design and Control, Prentice Hall, Upper Saddle River, New Jersey.
• Gryna, Frank M., Richard C. H. Chua, and Joseph A. DeFeo (2006), Juran’s Quality
Planning and Analysis for Enterprise Quality (5 th edition), McGraw-Hill, New York.
• Juran, Joseph M. and A. Blanton Godfrey, Co-Editors-in-Chief (1999), Juran’s Quality
Handbook, Fifth Edition, McGraw-Hill, New York, New York.
• Rea, Louis M. and Richard A. Parker (1997), Designing and Conducting Survey
Research: A Comprehensive Guide, (2 nd edition), Jossey-Bass, San Francisco, CA.
• Sprent, P. and N.C. Smeeton (2001), Applied Nonparametric Statistical Methods,
Chapman & Hall/CRC, Boca Raton, Florida.
PART ONE DELIVERABLES:
• For each reading assignment the MBB candidate must list one to three key points on
why the reading assignment is applicable. For example, Latin Square Design - how
and when this concept or tool can be applied in your company to strengthen the Six
Sigma program? And if not applicable, indicate why.
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Master Black Belt
TRAINING REQUIREMENTS
DEFINE PHASE – READING ASSIGNMENTS (DEF01 through DEF07)
Juran, Joseph M. and A. Blanton Godfrey, Co-Editors-in-Chief (1999), Juran’s Quality
Handbook, Fifth Edition, McGraw-Hill, New York, New York.
• DEF01 How to Think about Quality: Section 2
• DEF02 Quality and Income: Section 7
• DEF03 Quality and Costs: Section 8
• DEF04 Strategic Deployment: Section 13
Gryna, Frank M., Richard C. H. Chua, and Joseph A. DeFeo (2006), Juran’s Quality
Planning and Analysis for Enterprise Quality (5 th edition), McGraw-Hill, New York.
• DEF05 Companywide Assessment of Quality: Chapter 2
• DEF06 Quality Improvement and Cost Reduction: Chapter 3
• DEF07 Operational Quality Planning and Sales Income: Chapter 4
MEASURE PHASE – READING ASSIGNMENTS (MEA01 through MEA08)
DeVor, Richard E; Tsong-how Chang, and John W. Sutherland (1992), Statistical Quality
Design and Control, Prentice Hall, Upper Saddle River, New Jersey.
• MEA01 Importance of Rational Sampling: Chapter 7
• MEA02 Process Capability Assessment: Chapter 9
Juran, Joseph M. and A. Blanton Godfrey, Co-Editors-in-Chief (1999), Juran’s Quality
Handbook, Fifth Edition, McGraw-Hill, New York, New York.
• MEA03 Measurement, Information, and Decision-Making: Section 9
• MEA04 Inspection and Tests: Section 23
• MEA05 Basic Statistical Methods: Section 44
Gryna, Frank M., Richard C. H. Chua, and Joseph A. DeFeo (2006), Juran’s Quality
Planning and Analysis for Enterprise Quality (5 th edition), McGraw-Hill, New York.
• MEA06 Understanding Customer Needs: Chapter 10
Rea, Louis M. and Richard A. Parker (1997), Designing and Conducting Survey Research: A
Comprehensive Guide, (2 nd edition), Jossey-Bass, San Francisco, CA.
• MEA07 Part One: Developing and Administering Questionnaires
• MEA08 Part Two: Ensuring Scientific Accuracy
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Master Black Belt
TRAINING REQUIREMENTS
ANALYZE PHASE – READING ASSIGNMENTS (ANA01 through ANA14)
Agresti, Alan (1996), An Introduction to Categorical Data Analysis, John Wiley and Sons,
New York, NY.
• ANA01 Introduction: Chapter 1
• ANA02 Two-Way Contingency Tables: Chapter 2
• ANA03 Three-Way Contingency Tables: Chapter 3
• ANA04 Generalized Linear Models: Chapter 4
• ANA05 Logistic Regression: Chapter 5
P. Sprent and N.C. Smeeton (2001), Applied Nonparametric Statistical Methods Hollander,
Chapman & Hall/CRC, Boca Raton, Florida.
• ANA06 Introducing nonparametric methods: Chapter 1
• ANA07 Centrality inference for single samples: Chapter 2
• ANA08 Methods for paired samples: Chapter 4
• ANA09 Method for two independent samples: Chapter 5
• ANA10 Three or more samples: Chapter 6.1 to 6.3
• ANA11 Correlation and Concordance: Chapter 7
• ANA12 Robust estimation: Chapter 11.1 to 11.3
Gryna, Frank M., Richard C. H. Chua, and Joseph A. DeFeo (2006), Juran’s Quality
Planning and Analysis for Enterprise Quality (5 th edition), McGraw-Hill, New York.
• ANA13 Designing for Quality: Chapter 11
Rea, Louis M. and Richard A. Parker (1997), Designing and Conducting Survey Research: A
Comprehensive Guide, (2 nd edition), Jossey-Bass, San Francisco, CA.
• ANA14 Part Three: Presenting and Analyzing Survey Results
IMPROVE/DESIGN PHASE – READING ASSIGNMENTS (IMP01 through IMP05)
Juran, Joseph M. and A. Blanton Godfrey, Co-Editors-in-Chief (1999), Juran’s Quality
Handbook, Fifth Edition, McGraw-Hill, New York, New York.
• IMP01 Design and Analysis of Experiments: Section 47
DeVor, Richard E; Tsong-how Chang, and John W. Sutherland (1992), Statistical Quality
Design and Control, Prentice Hall, Upper Saddle River, New Jersey.
• IMP02 Model Building for Design and Improvement Using Two-Level
Factorial Designs: Chapter 18
• IMP03 Two-Level Fractional Factorial Designs: Chapter 19
• IMP04 Robust Design Case Studies: Chapter 21
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Master Black Belt
TRAINING REQUIREMENTS
Gryna, Frank M., Richard C. H. Chua, and Joseph A. DeFeo (2006), Juran’s Quality
Planning and Analysis for Enterprise Quality (5 th edition), McGraw-Hill, New York.
• IMP05 Statistical Tools for Designing for Quality: Chapter 19
CONTROL/VERIFY PHASE – READING ASSIGNMENTS (CON01 through CON7)
Juran, Joseph M. and A. Blanton Godfrey, Co-Editors-in-Chief (1999), Juran’s Quality
Handbook, Fifth Edition, McGraw-Hill, New York, New York.
• CON01 The Quality Control Process: Section 4
• CON02 Quality in Research and Development: Section 19
• CON02 Operations: Section 22
• CON04 Statistical Process Control: Section 45
• CON05 Reliability Concepts and Data Analysis: Section 48
DeVor, Richard E; Tsong-how Chang, and John W. Sutherland (1992), Statistical Quality
Design and Control, Prentice Hall, Upper Saddle River, New Jersey.
• CON06 Conceptual Framework for Statistical Process Control: Chapter 4
• CON07 Cumulative-Sum Control Charts: Chapter 12
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Master Black Belt
TRAINING REQUIREMENTS
PART TWO: CASE STUDIES DEVELOPMENT
PART TWO DELIVERABLES:
Two case studies of real projects (or edited projects) are to be developed:
• DMAIC transactional (i.e., business process) project case study, and
• DMADV design project case study.
The goal is to use these case studies as flow-through project case studies when teaching a
Black Belt (or Green Belt with statistics) wave of Transactional DMAIC and Design for Six
Sigma DMADV, respectively.
The MBB Candidate is expected to use real (or edited) projects to develop the case study
narrative, data, graphs, Minitab printouts, and questions for breakout exercises in which the
class participants can analyze (using Minitab as appropriate) and discuss as they move
through each phase of the Six Sigma training. For example, how would one conduct an MSA
for this project given the context of this project? In a follow-up exercise, after data has been
“collected” and provided to the participants, they can analyze the data using Minitab to arrive
at their own conclusions on whether the measurement system is valid. They can then discuss
and propose the correct next steps.
Handouts on the breakout exercises (scenario and questions), follow-up data, questions, and
answer keys must be developed. Essentially, the handouts (and supplementary documents)
build the case study as additional narrative, data, graphs, questions, and exercises become
available through each step and each phase of the Six Sigma methodology. In summary, it is
a build-up of information (i.e. multiple handouts) as more is known about the case study,
similar to what typically happens in a real Six Sigma project. There should be at least one
breakout exercise in Define, and at least two breakout exercises in each of the remaining
phases (MAIC and MADV respectively).
These teaching case studies will be reviewed and critiqued by a Juran specialist as they are
being developed. Constructive feedback will be given to ensure the quality of the teaching
case study. In summary, the deliverables are:
• Two project case studies in Word, PowerPoint and/or Excel and Minitab, with data files,
graphs, charts and output, narratives, questions, breakout exercises, and answer keys with
data-driven conclusions.
• Instructor summary notes to accompany the project case studies.
• Summary of your critique of strengths and weaknesses of approach taken, narrative,
methods and exercises used and conclusions, in preparation for review with Juran.
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Master Black Belt
TRAINING REQUIREMENTS
PART THREE: LITERATURE REVIEW
For each phase, conduct a Literature Review to identify two new references shedding
additional insight on concepts, tools, methods or applications for each phase. This literature
search should be outside of the basic texts and articles used in Juran’s DMAIC and DMADV
workshops and, preferably, of recent contributions to the field.
PART THREE DELIVERABLES:
• Hard or electronic copies of ten papers (or book chapters) with marginal comments.
• Summary notes in preparation for discussion (with Juran) of specific new insights on
concepts, tools, methods, or applications for this phase and ideas on how these may be
used in the MBB's company to further strengthen the Six Sigma program.
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Master Black Belt
TRAINING REQUIREMENTS
PART FOUR: BENCHMARKING ASSIGNMENT
For each phase of DMAIC/DMADV, schedule a benchmark interview (in person or via
phone) with the MBB, or VP Six Sigma of a leading company implementing Six Sigma to
compare their implementation strategy with MBB candidate’s company approach. Choice of
companies to benchmark should be discussed and approved by Juran who can provide
suggestions and contacts if necessary. Discussion with Juran should include comparisons of
weak and strong points and how the MBB candidate plans to strengthen his/her company’s
approach using ideas gained.
PART FOUR DELIVERABLES:
• Summary of comparison of implementation for each phase in the benchmark company's
program with MBB candidate’s company implementation. Summary must contrast the
training, the support given by management and internal/external expert resources to
Black Belts and Green Belts, and how results are reviewed and measured for each phase.
• Summarize notes for discussion with Juran highlighting which ideas from the specific
benchmark review are most applicable to further improvement of the Six Sigma program
in the MBB's own company and how they will be applied.
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Master Black Belt
TRAINING REQUIREMENTS
PART FIVE: MINITAB EXERCISES
For each phase except Define demonstrate the use of Minitab on one key tool or method for
each phase. These applications can be new examples, real examples, or examples taken
directly from Juran's Quality Handbook, Fifth Edition. Example should contain brief
description of each step taken in Minitab, presentation of all plots and graphs and
interpretation of output and results. The example must demonstrate the use of the tool in the
context of each phase of D-M-A-I/D-C/V.
PART FIVE DELIVERABLES:
• Short description of each of the four examples, copies of data or tables in hard and soft
copy, and references and hard copy of Minitab output with all graphs, charts, and
analyses used. Electronic copies of all Minitab worksheets and project files to enable
reviewers to verify and replicate analyses are required.
• Summary notes in preparation for discussion with Juran of example, approach taken,
choice of analytic methods, and conclusions.
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