Course Pamphlet | Schedule | Enrollment | Professional Registration
Master Black Belt Certification Programme
Become a Competent Person to Turn Challenges into Profit
Introduction
Six Sigma, Lean and TOC (Theory of Constraints) are well recognized over the world as effective methodologies for rapid financial results. The SSI’s MBB course covers a comprehensive knowledge of these methodologies and aims to develop Master Black Belts (MBBs) who are competent to employ these tools and able to elevate organizational performance rapidly.
A qualified MBB who is usually in a senior position of an organization should have knowledge and skills to provide advice to the senior management in achieving dramatic performance improvements and producing a demonstrable return on investment. On top of providing business improvement solutions, the MBB is also a Six Sigma leader in the organization and act as trainer and coach to Black Belts and Green Belts within the organization
Upon completion of the MBB program, participants should have acquired:
- Diagnostic Proficiency to identify critical ares that impede organizational performance.
- Holistic Improvement Strategies to utilize SSI’s TOCLSS approach for rapid results .
- Advanced Lean and Six Sigma Mastery which analyze and resolve complex challenges effectively.
- In-house Training Expertise to deliver Green Belt and Black Belt training courses.
- Project Leadership Skills that ensure successful project completion through expert coaching.
- Strategic Leadership to drive and sustain organization-wide Lean Six Sigma initiatives.
- Effective Mentorhsip which transfer knowledge for impactful results.
- Innovative Design and Redesign tools that enhance product processes at the Six Sigma Level.
MBB Modules
| Module (13 days) | Duration | Exam Requirements |
| 1.Maximize Organizational Performance with TOCLSS | (4 day, 28 hours) | – Submit a TOCLSS Project Report to demonstrate application of any one of the TOCLSS tools. – Pass the Examination (2 hours, in open book). – Complete a VIVA Examination to present the TOCLSS Project Report. |
| 2. Master the Art of Efficacy with Six Sigma Advanced Tools | (4 day, 28 hours) | In-class Progressive Examinations. |
| 3.Training for Six Sigma Trainers | (1 day, 7 hours) | Complete an assignment with 20 -30 min voice-recorded pre.sentation materials |
| 4.Six Sigma Maestro Coach | (1 day, 7 hours) | A written report of a coached project |
| 5.Six Sigma Management Leader | (1 day, 7 hours) | Submit an AI-assisted Business Analysis Report of a selected organization. |
| 6.Innovate Excellence – Design for Six Sigma (DFSS) | (2 day, 14 hours) | Submit an AI -assisted Report on product developmentAn assignment – AI Application in DFSS |
Entry Requirements for MBB Programme
- Candidates should possess a Six Sigma Black Belt/Lean Six Sigma Black Belt Certification from SSI or an equivalent professionsal organization. Those who are certified by other bodies may need to attend an online interview with SSI to demonstrate their leadership abilities.
- Candidates should have completed Six Sigma Black Belt/Lean Six Sigma Black Belt Training prior to enrolling in “Training for Six Sigma Trainers” and “Six Sigma Maestro Coach” modules.
Certification and Professional Registration
Participants who completed ALL six modules and each module with attendance 70% or above, complete all assignments and/or individual projects and pass the examination (if any) will receive a Passing Certficate on the Master Black Belt Certification Programme.
Individual certificates for each module can be issued upon request with one-off administration fee.
To become a Registered Six Sigma Master Black Belt (RSSMBB), applicants must have attained a Registered Six Sigma Black Belt / Registered Lean Sigma Black Belt issued by SSI.*
Applicants should also complete and meet the course requirments in the Master Black Belt Programme and pass the VIVA examination.
*Those who have completed equivalent Master Black Belt training from other institutions and wish to obtain SSI’s professional registration must first apply for an exemption and pass the eligibility assessment conducted by the SSI Examination and Registration Board.
Course Leader
Dr. YK Chan, Chairman of Six Sigma Institute, Managing Director of SBTI-Hong Kong Ltd, Doctor of Engineering (Warwick), Doctor of Management (IMC/USC), Post Doctoral (Oxford), Registered Professional Engineer, Registered Six Sigma Master Black Belt, Certified Six Sigma Black Belt Teacher, Registered Lean Specialist, TOCICO Certified TOC Practitioner, Visiting Professor of Beijing Normal University (北京師範大學) and Industrial Fellow of University of Warwick, UK.
Dr. Chan has over 30 years of experience in both manufacturing and servicing industries. Being a pioneer of Lean Six Sigma development in Hong Kong, he has Led over 100+ Lean Sigma projects and trained over 5,000 Lean Six Sigma professionals, including Six Sigma Master Black Belts, Lean Sigma Black Belts, Six Sigma Green Belts, Lean Specialists, Lean Leaders. Lean Practitioners, as well as TOC professionals.
Course Fee
Special Enrolment Offer: Full MBB Programme
Applicants who enrol in the Master Black Belt (MBB) Certification Programme (All 6 Modules) in a single registration can enjoy maximum savings:
FREE 1st-Year RSMBB Professional Registration: Enjoy a 100% waiver on your first-year RSMBB Professional Registration Annual Fee.*
VIVA Examination Fee Waived: One complimentary trial of the VIVA Examination.
*Professional Registration Fee waiver eligibility extends to candidates exempted from
the “Six Sigma Maestro Coach” module due to prior course completion at SSI.
Please contact us about course fee and DISCOUNT details.
Adverse Weather Class Arrangement
Course Outline
Course Leader
Dr. YK Chan, Chairman of Six Sigma Institute, Managing Director of SBTI-Hong Kong Ltd, Doctor of Engineering (Warwick), Doctor of Management (IMC/USC), Post Doctoral (Oxford), Registered Professional Engineer, Registered Six Sigma Master Black Belt, Certified Six Sigma Black Belt Teacher, Registered Lean Specialist, TOCICO Certified TOC Practitioner, Visiting Professor of Beijing Normal University (北京師範大學) and Industrial Fellow of University of Warwick, UK.
Dr. Chan has over 30 years of experience in both manufacturing and servicing industries. Being a pioneer of Lean Six Sigma development in Hong Kong, he has Led over 100+ Lean Sigma projects and trained over 5,000 Lean Six Sigma professionals, including Six Sigma Master Black Belts, Lean Sigma Black Belts, Six Sigma Green Belts, Lean Specialists, Lean Leaders. Lean Practitioners, as well as TOC professionals.
Fee Waiver and Exemption
Special Enrolment Offer: Full MBB Programme
Applicants who enrol in the Master Black Belt (MBB) Certification Programme (All 6 Modules) in a single registration can enjoy maximum savings:
FREE 1st-Year RSMBB Professional Registration: Enjoy a 100% waiver on your first-year RSMBB Professional Registration Annual Fee.*
VIVA Examination Fee Waived: One complimentary trial of the VIVA Examination.
*Professional Registration Fee waiver eligibility extends to candidates exempted from
the “Six Sigma Maestro Coach” module due to prior course completion at SSI.
Please contact us about course fee and DISCOUNT details.
Adverse Weather Class Arrangement
Course Outline
1.1 Overviews of the TOCLSS – A Innovative Holistic Management System
1.2 Principles and Thinking Process
1.3 Manufacturing Solutions
1.4 Performance Metrics
1.5 Project Management Solutions
1.6 Distribution, and Retail Solutions
1.7 Marketing and Sales Solutions
1.8 Strategy and Tactic
1.9 Case Examples
1.10 Individual ProjectIndividual Project Examination: Present Your Project in the Class (1 hour)
2.0 Review of Hypothesis Testing and Regression Analysis
2.1 Advanced DOE2.1.1 Review of DOE Methods
2.1.2 Response Surface Design2.1.2.1 Central Composite and Box-Behnken Designs
2.1.2.2 Sequential Experimentation
2.1.2.3 Optimization
2.1.2.4 Steepest Ascent Method
2.1.2.5 Multiple Response2.1.3 Trebuchet Experiment
2.1.4 Mixture Designs2.2 Advance SPC2.2.1 Overview of SPC
2.2.2 Cusum Chart
2.2.3 EWMA Chart
2.2.4 Cumulative Count Chart
2.2.5 Multivariate Chart
2.2.6 Pre-Control Chart
2.2.7 Cases and examples2.3 Advanced Capability Analysis2.3.1 Capability Analysis for Weibull data
2.3.2 Capability Analysis for Poisson data
2.3.3 Capability Analysis for Binomial data2.4 Advance Regression Analysis2.4.1 Stepwise Method
2.4.2 Logistic Regression2.5 Forecasting Techniques2.5.1 Time Series Analysis
2.5.2 Moving Average Methods
2.5.3 Exponential Smoothing Methods
2.5.4 Autocorrelation
2.5.5 Seasonal Analysis
2.6 Simulation and Exercise
3.1 Structure the Learning Activities
3.2 Formulation of Training plans
3.3 Effectively Creating and Controlling the Learning Environment
3.4 Teaching, Coaching and Consultancy Techniques
3.5 Practices
3.6 Individual Assignment: Teach an Assigned Subject (1 hour)
3.7 Training Examination – Presentation of your Assigned Subject
4.1 Coach-Belt Contracting as the Base
4.2 Key Questions the Coach Should Ask
4.3 Common Coaching Mistakes
4.4 The GROW Model for Coaching
4.5 Tools for the Coaching Process
4.6 Success Factors in Coaching
4.7 Practices
4.8 Individual Assignment: Coaching a Real Project
4.9 Coaching Examination – Presentation of your coaching report
5.1 Principles of Six Sigma Management
5.2 Six Sigma Leadership and Change Management
5.3 The Role of MBB
5.4 Bringing Six Sigma to Achieve Company Objectives
5.5 Project Selection
5.6 Personnel Selection
5.7 Award and Recognition
5.8 Six Sigma Deployment Plan
5.8 Project Management and Evaluation
5.9 Aligning Six Sigma with Business Excellence Model
5.10 Aligning Six Sigma to Other Management Systems
5.11 Introduction to Six Sigma Management Standard
6.1 Six Sigma Solution and Roadmap for Product Life Cycle
6.2 Introduction to DFSS
6.3 Main Technical Tools for DFSS
6.3.1 Quality Function Deployment (QFD)
6.3.2 System Design
6.3.3 Design for X
6.3.4 Applicable Reliability Engineering Tools
6.3.5 Robust Design
6.3.6 Design Validation Tools
6.4 DFSS Project Management
6.5 A Case Study of DFSS
6.6 TRIZ Inventive Problem Solving Theory
6.7 Reliability Design and Management
6.8 Workshop-Like Exercises on the Class (Conducted in the Related Parts)
2.0 Review of Hypothesis Testing and Regression Analysis
2.1 Advanced DOE2.1.1 Review of DOE Methods
2.1.2 Response Surface Design2.1.2.1 Central Composite and Box-Behnken Designs
2.1.2.2 Sequential Experimentation
2.1.2.3 Optimization
2.1.2.4 Steepest Ascent Method
2.1.2.5 Multiple Response2.1.3 Trebuchet Experiment
2.1.4 Mixture Designs2.2 Advance SPC2.2.1 Overview of SPC
2.2.2 Cusum Chart
2.2.3 EWMA Chart
2.2.4 Cumulative Count Chart
2.2.5 Multivariate Chart
2.2.6 Pre-Control Chart
2.2.7 Cases and examples2.3 Advanced Capability Analysis2.3.1 Capability Analysis for Weibull data
2.3.2 Capability Analysis for Poisson data
2.3.3 Capability Analysis for Binomial data2.4 Advance Regression Analysis2.4.1 Stepwise Method
2.4.2 Logistic Regression2.5 Forecasting Techniques2.5.1 Time Series Analysis
2.5.2 Moving Average Methods
2.5.3 Exponential Smoothing Methods
2.5.4 Autocorrelation
2.5.5 Seasonal Analysis
2.6 Simulation and Exercise
4.1 Coach-Belt Contracting as the Base
4.2 Key Questions the Coach Should Ask
4.3 Common Coaching Mistakes
4.4 The GROW Model for Coaching
4.5 Tools for the Coaching Process
4.6 Success Factors in Coaching
4.7 Practices
4.8 Individual Assignment: Coaching a Real Project
4.9 Coaching Examination – Presentation of your coaching report
5.1 Principles of Six Sigma Management
5.2 Six Sigma Leadership and Change Management
5.3 The Role of MBB
5.4 Bringing Six Sigma to Achieve Company Objectives
5.5 Project Selection
5.6 Personnel Selection
5.7 Award and Recognition
5.8 Six Sigma Deployment Plan
5.8 Project Management and Evaluation
5.9 Aligning Six Sigma with Business Excellence Model
5.10 Aligning Six Sigma to Other Management Systems
5.11 Introduction to Six Sigma Management Standard
6.1 Six Sigma Solution and Roadmap for Product Life Cycle
6.2 Introduction to DFSS
6.3 Main Technical Tools for DFSS
6.3.1 Quality Function Deployment (QFD)
6.3.2 System Design
6.3.3 Design for X
6.3.4 Applicable Reliability Engineering Tools
6.3.5 Robust Design
6.3.6 Design Validation Tools
6.4 DFSS Project Management
6.5 A Case Study of DFSS
6.6 TRIZ Inventive Problem Solving Theory
6.7 Reliability Design and Management
6.8 Workshop-Like Exercises on the Class (Conducted in the Related Parts)











