Very carefully designed course to help you master the fundamentals of Six Sigma and impart the skills required for you to apply the learnings at your respective workplace & able to drive Six Sigma projects. Designed to help you learn the fundamentals of Minitab or R with real-time data boosts your confidence and enable you with sufficient knowledge to build on the basics.
An ideal launch pad if you are looking at Six Sigma as your long-term career.
Duration 04 Days – 40 Hours
Certification By TÜV SÜD (An internationally recognised certification)
Objective To enable participants with the necessary knowledge, methodologies & skills required to drive DMAIC Lean Six Sigma Green Belt projects at their respective workplace.
Who Should Attend?
  1. Professionals with 0-20years of experience
  2. Graduates/postgraduates from any discipline
  3. Any professionals looking to accelerate their corporate career
  4. Anyone who wants to consider Lean Six Sigma their career
  5. Certified Green Belts looking to equip themselves to drive projects
Project Assistance Free assistance from an expert from respective discipline for a period of six months.
Essentials Graduates / Post graduates from any discipline
Course Program
  • 1.0 Introduction to Quality
  • 2.0 Quality Leaders (Juran, Deming, Shewhart, Ishikawa) (Videos to Understand)
  • 3.0 Cost of Quality (COQ)
  • 4.0 Cost of Poor Quality (COPQ)(Videos to Understand)
  • 5.0 Optimum Quality Levels
  • 6.0 Failure Mode & Effect Analysis (FMEA)
  •    6.1 Create Process FMEA (Videos to Understand)
  •    6.2 Create Design FMEA
  • 7.0 Key Business Drivers & their Impact
  •    7.1 Profit/Margin (Practice to Understand)
  •    7.2 Market Share
  •    7.3 Customer Satisfaction
  •    7.4 Product Differentiation
  •    7.5 Cost Benefit Analysis (CBA)
  •    7.6 Hard & Soft Benefits (Practice to Understand)
  •    7.7 Cost avoidance & Cost reduction (Practice to Understand)
  • 8.0 Organisation Goals & Six Sigma
  • 9.0 Six Sigma & Balanced Score card
  • 10.0 History & Evolution of Six Sigma
  • 11.0 Continuous Improvement
  • 12.0 Basics of Six Sigma (Simulation to Understand)
  • 13.0 Six SigmaApplications
  • 14.0 Types of Six Sigma Projects
  •    14.1 DMAIC
  •    14.2 DFSS / DMADV / IDOV
  • 15.0 Change Management (Simulation& Videos to Understand)
  • 1.0 Voice of Customer & Business(Simulation to Understand)
  •    1 Collect Customer & Business Voices
  •    2 Eliminate Vagueness Ambiguity
  •    3 VOC Clarity Table
  • 2.0 Kano Model (Practice to Understand)
  • 3.0 Benchmarking
  •    3.1 Competitive
  •    3.2 Collaborative
  •    3.3 Best Practices
  • 4.0 Customer Requirements to Process Requirements
  •    4.1 Critical to X (X-Quality, Cost, Safety or any other)
  •    4.2 CTQ Drill Down
  •    4.3 Quality Function Deployment
  • 5.0 Project Section & Prioritisation (Practice to Understand)
  • 6.0 Process Owners & Stakeholder Analysis
  • 7.0 Project Charter (Practice to Understand)
  •    7.1 Business Case
  •    7.2 Problem Statement
  •    7.3 Project Goal Statement
  •    7.4 Project Team
  •    7.5 Project Timeline
  •    7.6 Project Scope
  •    7.7 Expected Benefits
  • 8 Financial Evaluation & Business Case
  • 9.0 Develop Project Metrics
  • 10.0 Project Short &Long Terms Gain (Practice to Understand)
  • 11.0 Project Risk Analysis
  • 12.0 Six Sigma Project Types
  • 13.0 ProjectRoles & Responsibilities
  • 14.0 ProjectTeam Dynamics
  •    14.1 Forming
  •    14.2 Storming
  •    14.3 Norming
  •    14.4 Performing
  •    14.5 Team Communication
  • 15.0 Project Charter
  • 16.0 Project Management & Analytical Tools
  •    16.1 Gantt Charts
  •    16.2 Interrelationship Diagram
  •    16.3 Process Decision Diagrams
  •    16.4 Matrix Diagrams
  •    16.5 Critical Path Method (CPM)(Simulation to Understand)
  •    16.6 Project Evaluation & Review Technique
  •    16.7 RACI model
  •    16.8 Activity Network Diagram
  •    16.9 Tree Diagram
  •    16.10 Matrix Diagram
  • 17.0 Project Scope
  • 18.0 SIPOC & Process Mapping (Simulation to Understand)
  • 1.0 Process Analysis & Documentation
  •    1 Process Flow Charts
  •    2 Work Instructions &Gap Analysis
  • 2.0 Types of Data & Measurement Scale (Simulation to Understand)
  •    2.1 Continuous (Variable) Data
  •    2.2 Discrete (Attribute) Data
  •    2.3 Nominal Data
  •    2.4 Ordinal Data
  •    2.5 Interval Measurement
  •    2.6 Ratio Measurement
  • 3.0 Population & Sampling
  •    3.1 Basics of Sampling
  •    3.2 Calculate Sample Size (Practice to Understand)
  • 4.0 Type of Samples(Simulation to Understand)
  •    4.1 Random Sample
  •    4.2 Systematic Sample
  •    4.3 Stratified Sample
  •    4.4 Sequential
  • 5.0 Basics of Statistics (Simulation to Understand)v
  •    5.1 Central Tendency
  •    5.2 Dispersion
  •    5.3 Proportion
  • 6.0 Introduction to Statistical Software (Minitab)
  •    6.1 Minitab Practice
  •    6.2 Descriptive Statistics
  •    6.3 Inferential statistics
  • 7.0 Statistical Distributions (Practice to Understand)
  •    7.1 Normal
  •    7.2 Binominal
  •    7.3 Poisson
  •    7.4 Chi-Square
  •    7.5 Student’s T
  •    7.6 F distribution
  • 8.0 Basics of Probability(Practice to Understand)
  •    8.1 Frequency Distribution
  •    8.2 Cumulative Frequency Distribution
  •    8.3 Inverse Cumulative Frequency Distribution
  • 9.0 Central Limit Theorem (Simulation to Understand)
  • 10.0 Measurement & Data Collection
  •    10.1 What is Measurement
  •    10.2 Operation Definition
  •    10.3 Data Collection Plan (Simulations to Understand)
  • 11.0 Graphical Analysis (Practice to Understand)
  •    11 Pareto
  •    12 Scatter Plot
  •    13 Box Plot
  •    14 Histogram
  •    15 Stem &Leaf Plots
  •    16 Time Series Plot
  •    17 Run Chart
  •    18 Normality (using Minitab)
  •    19 Graphical Summary
  • 12.0 Variation & Measurement System Analysis
  •    12.1 Understanding Variations (Simulation to Understand)
  •    12.2 Measurement System Analysis (MSA)
  •    12.2.1 Discrimination
  •    12.2.2 Accuracy
  •    12.2.3 Precision
  •    12.2.4 Stability
  •    12.3 GRR for Continuous Data (Simulation to Understand)
  •    12.4 GRR for discrete Data (Simulation to Understand)
  •    12.5 Control Charts & Stability (Simulation to Understand)
  • 13.0 Baseline Process Performance (Practice to Understand)
  •    11 Baseline Discrete Data (DPU, DPO,DPMO)
  •    12 Baseline Continuous Data (Cp, Cpk, Pp, Ppk, Cpm)
  •    13 Sigma Value (Short term & Long term)
  •    14 Sigma Shifts
  • 14.0 Process Capability in Detail (Practice to Understand)
  •    14.1 Natural Process Limits & Specification Limits
  •    14.2 Design & Conducting Process Capability Studies
  •    14.3 Specifications, Sampling Plan, Stability & Normality
  •    14.4 Capability for Normal Data
  • 1.0 Identify Potential Causes (Practice to Understand)
  •    1 BrainStorming
  •    2 Affinity Diagram
  •    3 Cause & Effect Diagram
  •    4 Five Whys?
  • 2.0 Process Analysis
  •    2.1 Value Stream Mapping (Recap from Lean)
  • 3.0 Data Analysis
  • 4.0 Normal Curve & Normality Test(Practice to Understand)
  • 5.0 Confidence Interval, Risk, P value
  • 6.0 Hypothesis Testing -Null & Alternate
  • 7.0 Alpha & Beta Risks (Practice to Understand)
  • 8.0 Hypothesis with Normal Data(Practice to Understand)
  •       8.1 1 Sample T
  •       8.2 2-Sample T
  •    8.3 Paired T
  •    8.4 One-Way Anova
  •    8.5 Test of Variance
  • 9.0 Hypothesis with Non- Normal Data(Practice to Understand)
  •       9.1 1 Sample Sign
  •       9.2 1 Sample Wilcoxon
  •    9.3 Mann – Whitney
  •    9.4 Kruskal- Wallis
  •    9.5 Mood’s Median
  •    9.6 Friedman
  • 10.0 Hypothesis with Discrete Data (Practice to Understand)
  •    10.1 1 Proportion
  •    10.2 2Proportions
  •    10.3 Chi-Square
  • 11.0 Multi Vari chart (Practice to Understand)
  • 12.0 Correlation & its Terminologies
  • 13.0 Correlation & Causation
  • 14.0 Regression Analysis (Practice to Understand)
  • 15.0 Linear & Non-linear regression (Practice to Understand)
  • 16.0 Simple & Multi-Linear Regression (Practice to Understand)
  • 17.0 Residual Analysis (Practice to Understand)
  • 18.0 Design of Experiments
  •    18.1 Need for DOE
  •    18.2 Factors, Levels, Response, Treatment
  •    18.3 Blocks, Randomisation, Effects & Replication
  •    18.4 DOE Plots: Main Effect & Interaction Plots
  •    18.5 Full Factorial Experiment (Practice to Understand)
  • 1.0 Generate & Evaluate Ideas (Simulations to Understand)
  •    1 Brain Storming
  •    2 SCAMPER
  •    3 Six Thinking Hats
  •    4 Benchmarking
  •    5 doHow
  •    6 Lean Solutions
  •    7 TRIZ (Introduction)
  • 2.0 Selecting Best Solution(Practice to Understand)
  •    2.1 Multi-Voting
  •    2.2 Pay-off Matrix
  •    2.3 Criteria Matrix
  • 3.0 Error Proofing
  •    3.1 Prevention & Detection
  •    3.2 Mistake Proofing &Examples
  • 4.0 Assess Risk Failure Mode and Effect Analysis
  • 5.0 Piloting & Implementation
  •    5.1 Pilot Solutions
  •    5.2 Pilot Location
  •    5.3 Pilot Success Criteria
  • 6.0 Implementation
  •    6.1 Plan for Implementation
  •    6.2 Stakeholder Analysis
  •    6.3 Communication Plan
  •    6.4 Implementation
  • 1.0 What is Process Control?
  • 2.0 Different Types of Process Controls
  • 3.0 Response Plan & Reaction Plan
  • 4.0 Statistical Process Control (Practice to Understand)
  •    4.1 Monitoring, Controlling of Process Performance
  •    4.2 Identify & Select Critical Process Parameters
  •    4.3 Subgrouping & Rational Subgrouping
  •    4.4 SPC- Continuous Data (I-MR, X bar R, X bar S)
  •    4.5 SPC – Discrete Data (C,U,P,NP charts)
  •    4.6 SPC - Time Weighted (CUSUM, EWMA)
  • 5.0 Analyse Control Charts
  • 6.0 Control Plan
  • 7.0 Visual Control
  • 8.0 Sustain Improvements
  •    8.1 Lesson Learnt
  •    8.2 Documentation
  •    8.3 Trainings
  •    8.4 Ongoing Evaluation
  • 9.0 Benefit Computation
  • 10.0 Project Closure
  • 11.0 Celebration
Trainers Profile Certified Black Belt/Master Black Belt, with 100+ projects across Industries
Course Fee Includes
  • Four days of Simulation enabled training
  • Minitab Training
  • One Lean Six Sigma Green Belt Knowledge Book
  • Templates & real-life data sheets for practice
  • Five Lean Six Sigma case studies
  • doHow gamification
  • Five Sample Question papers with solutions
  • Examination & Certification Cost(for TÜV & SÜD)
  • Support in executing project for a period of 06 months
  • Refresher trainings at no charges
  • Exclusive invite to attend XergY’s students’ Green Belt project presentations
  • 100% Placement assistance
  • Lunch & refreshment during the training
  • Mentorship & Assistance to accelerate your corporate career
  • Pay just the differential amount when you take up Lean Six Sigma Black Belt training in future
Certification Procedure
(TÜV & SÜD only)
  • Attend 4 days training
  • Successful completion of Green Belt Certification exam conducted by TÜV & SÜD (at the end of 4th day)