Integrated Lean Six Sigma Green Belt + Black Belt

Aligned to ASQ and TÜV & SÜD

Integrated Lean Six Sigma Green Belt + Black Belt (Online)

July


Jul 11 - Oct 18
Online
18:00 - 23:00 IST
28 Days - 140 Hours


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₹80,667 ₹49,800

July


Jul 18 - Oct 25
Online
09:00 - 14:00 IST
28 Days - 140 Hours


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₹80,667 ₹49,800

July


Jul 25 - Nov 01
Online
18:00 - 23:00 IST
28 Days - 140 Hours


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Aug

Sat
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26
Sat
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Sun
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Sat
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₹80,667 ₹49,800



Integrated Lean Six Sigma Green Belt + Black Belt

The Black Belt is an expert, statistical analyst, and project Leader & critical member of Six Sigma Programs in an Organization. We understand that and our intent is to help you prepare for to take up the important training. When you complete the course, you will be ready to lead critical & most important projects to successful completion.


A perfect blend of 20 hours of simulation enabled Lean training followed by one 120 of Project enabled experiential learning of Six Sigma with optimum learning of Statistics to gain the in-depth knowledge of Data interpretation & followed by approximately 40 hours of Project Assistance. An ideal course to prepare you for high paid Lean Six Sigma Consulting Assignments across industries and the world. A course curated by Five Lean Six Sigma Consultants with 80+ years of Consulting experience & 500+ project experience is one of a kind.


Very carefully designed Curriculum to help you


Mastery in Six Sigma:
A course designed with the right blend of Theory, Exercises, Quizzes, Toolsets, & Real-life industry-specific examples, Project practice & Statistical knowledge to help you gain in-depth knowledge of data interpretation & gain supreme command over Lean Six Sigma knowledge.


Execute a Real-Time Project:
Lean Six Sigma is all about driving high impact projects. An industry-specific project simulation enabled experiential training would not just prepare you in driving projects but also to gain mastery in Lean Six Sigma. A compulsory project execution at the end of the course would help you learn the practical knowledge of Lean Six Sigma project execution


Master Minitab Software:
A well thought out 80+ hours of Minitab practice with 100+ Exercises using 500+ real-life data points would enable you to master the Minitab & be ready to solve complex problems across industries.


Leadership & Change Management:
Apart from mastery in Lean Six Sigma, Lean Six Sigma Black Belts need to possess the knowledge of Leadership and Change Management. A dedicated training of Project Management, Change Management, Leadership and Teaming would enable you to have the necessary skills to deal with qualities required to drive projects & be a change agent for your organization.

Duration

10 Days – 100 Hours + 40 Hours of Project Guidance

Certification

While we help you with an internationally recognized certification from TÜV SÜD but the course is designed to help you pass any of the certification exams likes of ASQ.

Objective

To enable participants with the necessary knowledge, methodologies & skills required to drive & mentor DMAIC Lean Six Sigma Black Belt projects in their respective industry.

Who Should Attend?
  • Professionals with 4+ years of experience
  • Any Professionals thoughtful to accelerate their corporate career
  • Anyone who wants to consider Lean Six Sigma their career
  • Certified Black Belts looking to equip them to be able to drive projects
  • Professionals seeking Lean Six Sigma knowledge rather than just certification
Project Assistance

Free Assistance from an expert from your respective discipline.

Essentials

Certified Green Belts with minimum of 1 year as Green Belts or Professionals with 4+ years of Industry experience.

Course Program
  • 1.0 Introduction to Lean
  • 2.0 What is Lean & Application of Lean
  • 3.0 6S Before Lean(Simulation to Understand)
  • 4.0 Types of Waste – (Videos &Simulation to Understand)
  •    4.1 Different Types of Wastes
  •    4.2 Causes of Waste
  •    4.3 Remedies of Waste
  • 5.0 Lean Principles Introduction
  •    5.1 Identify Customers & Specify Value
  •    5.2 Value Stream Mapping
  •    5.3 Create Flow
  •    5.4 Respond to Pull
  •    5.5 Pursuit Perfection
  • 6.0 Identify Customers & Specify Value
  •    6.1 Customer – Internal & External
  •    6.2 Value Added & Non-Value Added (Simulation to Understand)
  • 7.0 Create Value Stream Mapping (VSM)(Simulation to Understand)
  •    7.1 Terminologies (CT,FTY,RTY, CO, TPT, WIP, WIQ)
  •    7.2 Process Efficiency
  •    7.3 Customer Takt time
  •    7.4 Create VSM(Simulation to Understand)
  •    7.5 Process Efficiency
  • 8.0 Create Value Stream Design (VSD) (Simulation to Understand)
  • 9.0 Create Flow & Respond to Pull(Simulation to Understand)
  •    9.1 Single Piece Flow (Simulation to Understand)
  •    9.2 Single Minute of Exchange of Dies(Simulation to Understand)
  •    9.3 Line Balancing (Simulation to Understand)
  •    9.4 Kanban (Pull Production)(Simulation to Understand)
  •    9.5 Heijunka (Production Levelling)(Simulation to Understand)
  •    9.6 Just In Time(Simulation to Understand)
  • 10.0 Additional Lean Tools
  •    10.1 Spaghetti Diagram
  •    10.2 Circle Diagram
  •    10.3 Total Productive Maintenance
  •    10.4 Andon & Visual Management
  •    10.5 Visual Factory
  •    10.6 Gemba
  •    10.7 Hoshin Kanri (Policy Deployment)
  •    10.8 PDCA (Plan Do Check Act)
  •    10.9 Poka-Yoke (Mistake Proofing)(Simulation to Understand)
  •    10.10 Root Cause Analysis
  •    10.11 Standardized Work(Simulation to Understand)
  •    10.12 Theory of Constraints (Introduction)
  • 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 (Simulation to Understand)
  •    6.2 Create Design FMEA
  • 7.0 Key Performance Measures
  •    7.1 Key Performance Indictors
  •    7.2 Customer Satisfaction
  •    7.3 Product Differentiation
  •    7.4 Customer Loyalty Metrics
  •    7.5 Leading & Lagging Indicators
  •    7.6 Create Line of Sight
  • 8.0 Key Business Drivers & their Impact
  •    8.1 Profit/Margin (Practice to Understand)
  •    8.2 Market Share
  •    8.3 Net Present Value (NPV)
  •    8.4 Cost Benefit Analysis (CBA)
  •    8.5 Hard & Soft Benefits (Practice to Understand)
  •    8.6 Cost avoidance & Cost reduction (Practice to Understand)
  • 9.0 Organisation Goals & Six Sigma
  • 10.0 Balanced Score Card& Six Sigma
  • 11.0 History & Evolution of Six Sigma
  • 12.0 Continuous Improvement
  • 13.0 Basics of Six Sigma(Simulation to Understand)
  • 14.0 Six SigmaApplications
  • 15.0 Types of Six Sigma Projects
  •    15.1 DMAIC
  •    15.2 DFSS (DMADV/IDOV)
  • 16.0 Organization Road Blocks
  •    16.1 Organisation Structure & Culture
  •    16.2 Common Causes of Six Sigma Failures
  •    16.3 Stakeholder Analysis (Six Sigma Impact)
  • 17.0 Change Management (Simulation& Videos to Understand)
  •    17.1 Basics of Change Management
  •    17.2 Readiness Assessment
  •    17.3 Communication Plans to Overcome Barriers
  • 18.0 Strategic Planning & Deployment
  •    18.1 Importance of Lean Six Sigma
  •    18.2 Hoshin Kanri (Policy Deployment) (Practice to Understand)
  •    18.3 SWOT Analysis(Practice to Understand)
  •    18.4 PEST
  •    18.5 Business Contingency Planning
  • 19.0 Team Management (Simulation & Videos to Understand)
  •    19.1 Team Types & Constraints
  •    19.2 Team Roles &Responsibilities
  •    19.3 Team Member Selection Criteria
  •    19.4 Team Success Factors
  • 20.0 ProjectTeam Dynamics (Simulation to Understand)
  •    20.1 Forming
  •    20.2 Storming
  •    20.3 Norming
  •    20.4 Performing
  •    20.5 Team Communication
  • 21.0 Team Facilitation
  •    21 Motivational Technique
  •    22 Team Stages & Development
  •    23 Team Communication
  •    24 Team Leadership & Models
  • 22.0 Team Dynamics (Simulation & Videos to Understand)
  •    22.1 Group Behaviour
  •    22.2 Meeting Management
  •    22.3 Team Decision Making Methods
  • 23.0 Team Training (Simulation to Understand)
  •    23.1 Need Assessment
  •    23.2 Delivery
  •    23.3 Evaluation
  • 1.0 Voice of Customer & Business(Simulation to Understand)
  •    1.1 Collect Customer & Business Voices
  •    1.2 Eliminate Vagueness & Ambiguity
  •    1.3 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 (Practice to Understand)
  • 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
  • 8.0 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
  •    13.1 Roles of Executive Leadership
  •    13.2 Roles of Champion
  •    13.3 Roles of Sponsor
  •    13.4 Roles of Master Black Belt
  •    13.5 Roles of Black Belt
  •    13.6 Roles of Green Belt & Team
  • 14.0 Project Management& Analytical tools
  •    14.1 Gantt charts
  •    14.2 Work Breakdown Structure
  •    14.3 Critical Path Method (CPM)(Simulation to Understand)
  •    14.4 Project Evaluation & Review Technique
  •    14.5 RACI model
  •    14.6 Activity Network Diagram
  •    14.7 Tree Diagram
  •    14.8 Matrix Diagram
  • 15.0 Project Scope
  • 16.0 SIPOC & Process Mapping (Simulation to Understand)
  • 17.0 Project Performance Measurement
  •    17.1 Define Performance Measurement
  •    17.2 Process Critical Elements
  •    17.3 Key Outputs
  • 18.0 Project Tool Gate Review
  • 1.0 Process Analysis & Documentation
  •    1 Process Flow Charts
  •    2 Work Instructions &Gap Analysis
  • 2.0 Types of Data & Measurement Scale (Practice 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
  • 5.0 Basics of Statistics (Simulation to Understand)
  •    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 Probability
  •    7.1 Basic Concepts
  •    7.2 Independence Events
  •    7.3 Mutually Exclusive Events
  •    7.4 Addition & Multiplication Rules
  •    7.5 Complimentary Probability
  •    7.6 Occurrence of events
  • 8.0 Statistical Distributions (Practice to Understand)
  •    8.1 Normal
  •    8.2 Binominal
  •    8.3 Poisson
  •    8.4 Chi-Square
  •    8.5 Student’s T
  •    8.6 F distribution
  •    8.7 Hypergeometric
  •    8.8 Bivariate
  •    8.9 Exponential
  •    8.10 Lognormal
  •    8.11 Weibull
  • 9.0 Probability of Distributions (Practice to Understand)
  •    9.1 Frequency Distribution
  •    9.2 Cumulative Frequency Distribution
  •    9.3 Inverse Cumulative Frequency Distribution
  • 10.0 Central Limit Theorem (Simulation to Understand)
  • 11.0 Measurement & Data Collection
  •    11 What is Measurement
  •    12 Operation Definition
  • 12.0 Data Collection Plan (Simulation to Understand)
  •    12.1 Check Sheets
  •    12.2 Data Coding
  •    12.3 Data Cleaning
  •    12.4 Data Collection Pitfalls
  •    12.5 Avoid Data Collection Pitfalls
  •    12.6 Seasonality Effect on Data
  •    12.7 Data Collectors Training
  • 13.0 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
  • 14.0 Metrology
  •    14.1 Elements of Metrology
  •    14.2 Calibration System
  •    14.3 Traceability &Reference Standards
  •    14.4 Control & Integrity of Standards
  • 15.0 Variations& Measurement System Analysis
  •    15.1 Understanding Variations (Simulation to Understand)
  •    15.2 Measurement System Analysis (MSA)
  •       15.2.1 Discrimination
  •       15.2.2 Accuracy
  •       15.2.3 Precision
  •       15.2.4 Stability
  •    15.3 GRR for Continuous data (Simulation to Understand)
  •    15.4 GRR for Discrete Data (Simulation to Understand)
  •    15.5 Control Charts & Stability (Simulation to Understand)
  • 16.0 Measurement Systems to
  •    16.1 Sales & Marketing
  •    16.2 Engineering
  •    16.3 Supply chain & Management
  •    16.4 Research & Development
  •    16.5 Customer Satisfaction
  • 17.0 Baseline Process Performance (Practice to Understand)
  •    17.1 Baseline Discrete Data (DPU, DPO,DPMO)
  •    17.2 Baseline Continuous Data (Cp, Cpk, Pp, Ppk, Cpm)
  •    17.3 Sigma Value (Short term & Long term)
  •    17.4 Sigma Shift (Short term Vs Long term)
  • 18.0 Process Capability in Detail (Practice to Understand)
  •    18.1 Natural Process Limits & Specification Limits
  •    18.2 Design & Conducting Process Capability Studies
  •    18.3 Specifications, Sampling Plan, Stability & Normality
  •    18.4 Capability for Normal & Non-Normal Data
  •    18.5 Process Performance (PPM, DPU, DPMO)
  •    18.6 Transformations (Box-Cox & Johnson transformation)
  •    18.7 Capability for Discreet Data
  • 1.0 Identify Potential Causes (Practice to Understand)
  •    1 Brain Storming
  •    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 NormalCurve & Normality Test(Practice to Understand)
  • 5.0 Confidence Interval, Risk & P value
  • 6.0 Hypothesis Testing -Null & Alternate
  •    6.1 Significance of Confidence Level
  •    6.2 Significance of Power
  •    6.3 Statistical &Practical Significance
  •    6.4 Sample Size for Hypothesis Tests
  •    6.5 Point & Interval Estimates
  •    6.6 Contingency Tables
  • 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
  • 10.0 Hypothesis with Discrete Data (Practice to Understand)
  •    10.1 1 Proportion
  •    10.2 2 Proportions
  •    10.3 Chi-Square
  • 11.0 Multi Vari Chart (Practice to Understand)
  • 12.0 Correlation & its Terminologies (Practice to Understand)
  • 13.0 Correlation &Causation (Practice to Understand)
  • 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 Multivariate Tools (Practice to Understand)
  •    18.1 Factor Analysis
  •    18.2 Item Analysis
  •    18.3 Discriminant Analysis
  •    18.4 Simple & Multiple Correspondence Analysis
  • 19.0 Design of Experiments (Practice to Understand)
  •    19.1 Need for DOE
  • 20.0 Terminologies
  •    20.1 Factors, Levels, Response, Treatment
  •    20.2 Blocks, Randomisation, Effects & Replication
  •    20.3 DOE Plots: Main Effect & Interaction Plots
  •    20.4 Confounding
  • 21.0 DOE Designs
  •    21.1 Full Factorial Experiments (Practice to Understand)
  • 22.0 Fractional Factorial (Practice to Understand)
  • 23.0 Latin Square Designs
  • 24.0 Balanced & Orthogonal Arrays
  • 25.0 Taguchi’s Design
  • 26.0 Confounding
  • 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 FMEA (Recap)
  • 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, Xbar R, X bar S)
  •    4.5 SPC – Discrete Data (C,U,P,NP charts)
  • 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
  • 1.0 Common DFSS/ DMADV Methodologies
  •    1 Define
  •    2 Measure
  •    3 Analyze
  •    4 Design
  •    5 Validate
  • 2.0 Design for X (DFX)
  •    2.1 Design Constraints
  •    2.2 Design Cost
  •    2.3 Design for Manufacturability
  •    2.4 Design for Test
  •    2.5 Design for Maintainability
  • 3.0 Robust Design
  •    3.1 Robust Product Design
  •    3.2 Tolerance for Design
  •    3.3 Statistical Tolerancing
  •    3.4 Robust Process Design
Trainers Profile
  • Certified Black Belt/ Master Black Belt
  • 16+ years in the field of Lean Six Sigma
  • Full-time Consultant & Passionate Trainer
  • Executed/Mentored 200+ Lean Six Sigma Projects
  • Trained 2000+ professionals across industries
  • Corporate Lean Six Sigma Training for fortune 50 Companies
Course Fee Includes
  • One hundred forty hours of Project Enabled Experiential Learning
  • Lifetime access to Student Portal of XergY Page
  • Minitab Training & 80+ hours of extensive practice
  • Industry-specific Lean Six Sigma case studies
  • Sample Question papers with solutions
  • Examination & Certification Cost (for TÜV & SÜD only)
  • Support in executing the project for two year
  • Refresher training at no charges
  • Exclusive invite to attend Black Belt project presentations
  • Lunch & refreshment during the training (Only for classroom sessions)
  • Mentorship & Assistance to accelerate your corporate career
  • Pay just the differential amount when you take up Lean Six Sigma Black Belt training in future.
  • 100% Placement assistance
Certification Procedure (TÜV & SÜD only)
  • Attend 140 hours of instructor led training
  • Successful completion of Black Belt certification exam conducted by TUV with 60% marks (at the end of the 10th day)
  • Submission of the project (within eight months from the date of completion of the course)

Please contact us via below from for more info

XergY: Integrated Lean Six Sigma Green Belt + Black Belt

A course designed beyond certification with unlimited support with one vision to help someone with a desire to become a successful Lean Six Sigma professional/consultant to achieve their dream.

Download
BROCHURE.pdf

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