About the Program
Lean Six Sigma Black Belt Certification is an advanced level of certification in Lean Six Sigma. This is one of the skills/certifications which is highest in demand in all the LSS certifications across organizations. There are thousands of requirements with 30-70% higher salaries across organizations including Big MNCs.
In our Lean Six Sigma Black belt certification, we cover the advanced level understanding of Lean and Six Sigma, Covers Projects selection, Capturing and prioritizing VOC, KANO model, Change Management strategies, Advanced lean tools, Design of Experiments, Pugh Matrix, all the Phases of DMAIC in details with advanced Six Sigma and Lean Tools, Graphical analysis (10 graphical analysis and application), Handling Non-Normal data, Hypothesis testing, Statistical analysis for Non-Normal data and application, Learn Minitab software etc. In addition, we do 20+ cases during the entire program - to have a good practical understanding of the methodology and tools.
Prerequisites
Should have Six Sigma Yellow Belt Certification
OR
Should have a minimum of 2 years of Professional experience with a fair understanding of Quality, Customer, Variation, Standardization, VOC, What is Six Sigma and Lean and their application in problem-solving, understanding of the DMAIC approach with some knowledge of the main tools like Fish Bone, Project charter etc.
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
a) Understanding Quality, Customer, Variation, Measuring variationVoice of Customer (VOC) and Critical to Quality (CTQ)
b) 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 Just Do it, Suggestion Scheme, Kaizen, PDCA etc.
Chapter 3: What is Six Sigma?
Data-Driven Decision-Making and how it makes the 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
Chapter 25 : Examination 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.
