About the Program
Six Sigma Black Belt Certification is the most advanced level of certificaction in Six Sigma. This is one of the skill / certification which is very prestigious , Highly respectable ,usually a Leadership role, High in demand across Industries. 50-100% growth in terms of salary requirements with 30-70% higher salaies across organizations including Big MNCs.
In our Six Sigma Master Black belt certification , we cover most advanced level of tools of SIx Sigma, Advanced level of optimization using Regression , Taguchi method of DOE , Advanced Lean tools , Idnetifying various typre of Non Normal distributions , Change Management startegies, Design Thinking , understanding of RPA , Industry 4.0, Artificial Intelligenece and Data analytics, Implementation of Lean Six Sigma across industries- 4 case studies from selected Industries , Conflcit Management, Emotional Intelligence, Training skills, Coaching and Mentoring skills - in addition to other advanced tools of Lean Six Sigma.
We also cover 2 Capstone Projects - which we solve during the program for learning practical challenges on the grounds when we do and coach Lean Six Sigma Projects.
Prerequisites
Should have Six Sigma Black Belt Certification
OR
Should have Lean Six Sigma Black Belt Certification
Key Differentiator
This program is designed and delivered using 30:70 for Theory and Practical. This means 30% of the time we will learn theory and 70% of the time, we will be learning through Practical examples, Case Studies, Exercises, Role Plays etc
Modules/BOK
Module I: Introduction to Six Sigma
Chapter 1: Understanding Basic Concepts and Structured Problem Solving
Understanding Quality, Customer, Variation, Measuring variationVoice of Customer (VOC) and Critical to Quality (CTQ)
Understanding Structured Problem solving: How do we solve problems in daily life and how it is different from Structured problem solving
Chapter 2 : Various Common Problem-Solving Methodologies (used for routine problem-solving)
Understanding Various common Problem Solving Methodologies which we use to solve daily routine problems like Justdo it, Suggestion Scheme , Kaizen, PDCA etc.
Chapter 3 : What is Six Sigma?Just do
Data Driven Decision making and how it makes a difference?
Understanding and Defining Six Sigma
Different levels of Lean Six Sigma Certifications
History of Six Sigma
Common Six Sigma Principles
Challenges of Six Sigma
Chapter 4 : Six Sigma History and application
Origin of Six Sigma
Motorola’s Focus on Defects
Adaptation of Six Sigma by different companies
Chapter 5 : Understanding Six Sigma DMAIC
Basic understanding of Six Sigma (DMAIC) through a role play
When to use Six Sigma
Chapter 6 : 8 Types of Wastes
7 +1 Types of Waste (Muda)
Chapter 7: Approaching the problem
Understanding y= f(x)
5 Why approach
Module II: Selecting Right Project and Methodology
Chapter 8: Project Selection
Various sources of Projects
Selecting the right project
Chapter 9: Project governence and Team structure
Project governence
Project team, Various roles and their responsibilities
How to select a right team
Chapter 10 : Understanding DMAIC and DMADV - Overview
Understanding application of DMAIC and DMADV
Define
Measure
Analyze
Improve
ControlDesignVerify
Chapter 11 : Selecting Right Methodology
Just Do it
Kaizen
Kaizen Event
PDCA
Six Sigma DMAIC
Six Sigma DMADV
Module III: Understanding DMAIC phases in Detail
Chapter 12 : Define Phase
Business Case
Understanding Project Charter
Learning various components of Project charter
- Problem statement
- Goal Statement and Goal Setting
-Problem Definition Tree
- Project Scoping
- Project Team
- Project Planning
- Financial Benefits
Define Phase Toll gate review
Chapter 13 : Measure Phase
Understanding Process Mapping
Overview of Value Stream Mapping (VSM)
Quick Wins
Understanding CTQ and Project Metric
Operational Definition
Understanding various Types of data
Sampling techniques
Data Collection plan and Check list
Basic Staistics
Understanding Normal Distribution
Understanding Minitab
Various types of Graphical analysis using Minitab / Excel
Measurement System Analysis
- Attribute MSA
- GRR
Process Stability
Various Metrics for Process Performance
- DPU , DPO and DPMO
- CpK
- Sigma Level
- Yield
Calculating Baseline Performance
Measure phase Toll gate review
Chapter 14 : Analyze Phase
Brainstorming : Cause & Effect Diagram
Failure Mode & Effect Analysis
Pareto Chart
Frequency Relevancy Analysis
VA NVA Analysis
Hypotheiss Testing
Various Types of Statistical Analysis
- Test of mean ( 1 sample t test , 2 sample t test , Paied t test , ANOVA)
- Test of Variance ( 1 sample Standard deviation , 2-sample standard deviation , Standard Deviation test)
- Correlation and Regression
- 1 sample % Defective, 2 Sample % Defective, Chi-Square test for Association
Gap Analysis
Analyze Phase Toll Gate
Chapter 15 : Improve Phase
Various solution generation techniques
Kaizen Events
Mulit-voting
Soultion Selection Matrix
Cost Benefit Analysis
Pilot testing
Planning and Full scale Implementation
Statistical validation of Improvements outcome
Improve Phase Toll Gate
Chapter 16 : Control Phase
Need for Control
Various Control Mechanisms
Poka Yoke
Statistical Process Control / Control Charts
- IMR Chart
- X Bar R chart
- X Bar S Chart
- P chart
- U chart
Creating a Control Plan
Visual Management
Revise FMEA
Team celebration and reflections
Control phase Toll Gate Review
Chapter 17 : Sample Project walk Through
Sample Project walk Through
Reflections
Module IV: Advance Project Selection and Advanced DMAIC
Chapter 18 : Capturing VOC
VOC Capturing methods
KANO Analysis
Challenges in capturing VOC
Chapter 19 : Advanced technoques of Projects selection and Prioritization
Understanding COQ , COGQ and COPQ
Quality Function Deployment (QFD)
Balanced Scorecard
CTQ Drill Down Technique
Goal Mean Diagram
Project Prioritization
Chapter 20 : Advanced Define Tools
Teaming module
Conflict Management
Project Management - Activity on Arrow Diagram
Crtical Path Method
Calculating Critical path
Advantages of using Critical Path
Change Management
Change Management Strategies
Chapter 21 : Advanced Measure Tools
Different types of Process Map and application
Value Stream Mapping
Case Study using VSM
Continuous Flow and Batch Flow
Benefits of Continuous Flow
Common mistakes while considering Non Normal Data for Non Normal data
Handling Non Noraml Data
Box Cox Transformation
Johnson Transformation
Baseline calculation for Non Normal Data
Chapter 22 : Advanced Analyze Tools
Data Stratification
Multi-variate Analysis
Errors in Decision Making
Understanding Type I and Type II Errors in detail
Deciding what value of Tpe I error is suitable in a situation
Sample Size calcualtion for various statistical tests
Hypothsis Testing : Nonparametric Tests
- 1-Sample Sign Test
- Mann-Whitney Test
- Kruskal-Wallis Test
- Moods Median Test
Multiple Linear Regression
Logistics Regression
Fractional Factorial Design of Experiments
Chapter 23 : Advanced Improve Tools
SCAMPER
Mind Mapping
Understanding Experimentation - need of doing experiments
Understanding OFAT
Understanding Factorial experimentation
Understanding Design of Experiments
Full factorial and Fractional Factorial designs
Benefits of Full Factorial and Fractional Factorial designs
Step by Step Learning of doing DOE using Minitab
Undersatnding Main Effect and Interaction Effect
Understanding the interpretation f DOE outcome
Optimizing the Model
Practicing case studies of DOE
Push and Pull
SMED
PUGH Matrix
Force Field Analysis
Chapter 24 : Advanced Control Tools
Visual Management
TPM
Module V: Advance techniques and Skills for MBB
Chapter 25 : Enterprise-Wide Planning and Deployment
Understanding how Enterpise-wide Planning and deployment is done fo Leanr Six Sigma Orojects
SWOT analysis
PEST Analysis
Hoshin Kanri
Chapter 26 : Advanced Methods of Data analysis
Overview of advanced Data nalysis and Dat Visualization
Response Optimization techniques of optimization
Chapter 27 : Understanding Non-Normal data / distributions and handling Non-Normal data
Different type of Distributions
Identifying Type of Distribution - Using Minitab
Chapter 28 : Emotional Intelligence and Conflict Management
Understanding Conflict management
Assessing our own Conflict Management Style
IQ Vs EQ
Understanding IQ
IQ vs EQ : which is better and Why ?
How EQ is critical in our role and how we can use it?
Creating our own Improvement plan for Better Conflict Management and Emotional Intelligence
Chapter 29 : Advanced Lean Tools
 Lean Flow Concept
Value Stream Map
 Line Layout
Takt Time/ Cycle Time/ Lead Time
Standard Work
KanbanJidoka
Chapter 30 : Design Thinking
Understanding Design Thinking as a problem-solving approach
Design Thinking methodology
Design Thinking Mindset
Immersion – Understand various aspects while capturing VOC
Design Thinking Tools like Customer Journey Map etc.
Case Studies on Design Thinking from Stanford and MIT
Chapter 31 : Training, Coaching and Facilitation skills:
Understanding Training, Coaching and Facilitation
Working session : Gap Analysis - Participant wise
Action plan preparation - Participant wise
Chapter 32 : Lean Six Sigma Implementation in various indutries
Lean Six Sigma application in Manufacturing
Lean Six Sigma application in Shared Services
Lean Six Sigma application in Retails
Lean Six Sigma application in Healthcare
Chapter 33 : Working Session - Solving complex Business Problems using Lean Six Sigma
Working on Case study of Complex Business Problem , using Lean Six Sigma
Reflections
Chapter 34: Assesment Details
Details about the examination
Exam Pattern
Dos & Don'ts
Sample Questions for Practice
About the Certification
After successfully fulfilling the certification requirements, candidates will receive an Official Six Sigma Certification issued by The Giant Maverick.
Our certifications have no expiration date.
