SSA Lean Six Sigma Black Belt

SSA Lean Six Sigma Black Belt


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About The Event










Define Phase

  • Six Sigma Overview
  • Vendor Payment Simulation® - Round 1
  • Define Overview
  • Project Charter
  • Meeting Management
  • Communication Plan
  • Stakeholder Management
  • Process Maps
  • Voice of Customer
  • Critical to Quality (CTQ) drill down technique
  • Prioritizing customer requirements (Kano Model)
  • Concept of project ‘y’

2. Measure Phase

  • Measure overview
  • Data Collection
  • Prioritization Matrix
  • Introduction to Minitab16®
  • Sampling
    • Basic Sampling Principles
    • Introduction to Basic Sampling
    • Precision and Sample size estimation
    • Fundamentals of statistical Sampling
    • Population V/S Process Sampling
    • Gage R&R
    • Gage R&R Continuous data
    • Gage R&R for discrete data
      • Patterns in Data
      • Understanding Variation
      • Time Plots
      • Control Charts for individual values
      • Xbar-R Control Charts
      • Frequency distribution
      • Fundamentals of Pareto Analysis
        • Process Capability
          • Introduction to concepts
          • Understanding Process Capability
          • Process Sigma

3. Analyze Phase

  • Analyze overview
  • Process Mapping
  • Process Cycle efficiency
  • Time Analysis
  • Value Analysis
  • Cause and effect analysis
  • Focusing the Problem Statement
  • Identifying Potential Causes
  • Cause-and-Effect (Ishikawa) Diagrams
  • Using Tree and
  • Affinity Diagrams for Cause-and-Effect Analysis
  • Verify Causes
    • Normal theory
    • Transforming to Normality
    • Choosing a Transformation
    • Using Transformed Data with Process Sigma
      • Hypothesis testing
      • Using Distributions to Judge Difference
      • Comparing Two Group Averages: 2-Sample t-test
        • Paired t-test
        • Comparing Two Group Averages with Matched Data: the Paired t-test
        • Comparing Two or More Groups: Variance
          • ANOVA: Comparing Two or More Groups
          • Components of Variance
            • Comparing Two Proportions
        • Chi-Square: Comparing Two or More Group Proportions
  • Basic Power Analysis
  • Regression analysis
    • Introduction to Linear Regression
    • Basics of regression analysis
    • General Procedure for Doing Regression Analysis (One X)
    • Regression Analysis with Transformed Data
    • Multiple Linear Regression
    • Working with MLR
    • General Procedure for  Multiple Regression
    • Introduction to Curvilinear Regression
      • Design of Experiments
      • Introduction to designed experiments                 
      • Helicopter Exercise
      • Factorial approach
      • Full Factorial Experiment  
      • Designing an experiment              
      • Doing the experiment
        • Analyzing the Experiment
          • DOE Analysis
          • Main Effect Plots
          • Interaction Plot
          • Cube Plots
          • The Prediction Equation
          • Reducing experimental trials—half fraction
          • Other factorial designs
          • Full Factorials with more than 2 levels
          • Planning and Preparation for DOE
          • Lean Evolution, Toyota Philosophy, Traditional thinking and Lean thinking
            • Value, value stream, flow, pull, perfection
            • 7 wastes, Little's Law, pull system, WIP, PCE
            • Lean design, Lean tools
            • Overview of iGrafx, Introduction to value stream mapping with iGrafx
            • Interpretation Of CS VSM
            • Push and Pull Systems
            • Flow
            • Creating Continuous Flow

4. Improve Phase (Cut down lean topics slides)

  • Generate solutions
  • Generating Ideas
  • Scamper
  • Evaluating Solutions
  • Cost Benefit Analysis
  • Selecting Solutions
    • Assessing risks and PILOTING
    • Assessing Risks
    • FMEA
    • Piloting Solutions
      • Plan, Implement, Debug
      • Plan the Implementation
      • Stakeholder Management
      • Problem Awareness Board
      • Cell Design
      • Kaizen
      • 5 ‘S’
      • Poka Yoke
      • Standard Work
      • Visual Management
      • Risk Assessment using FMEA
        •    Vendor Payment Simulation®- Round 2

5. Control Phase

  • Control charts
  • Quality Control and Process Management
  • Standardization and Documentation
  • Control charts review
  • Individual and Moving Range charts
  • Discrete charts for discrete data
  • Control charts for high volume processes with subgroups, X-bar, R Chart
  • Using control charts
    • Continuous improvement
    • Control review
      • Identify projects that relate to the organization’s mission and objectives.
      • Recognize the organizational factors that are necessary groundwork for a successful lean six sigma effort.
      • Build a cross-functional team to deliver meaningful results for the project.
      • Design and implement accurate and cost-effective data collection systems that will provide useful data for business process analysis.
      • Evaluate the capability of a process or organization using to concept of sigma level.
      • Identify root causes and validate them using extensive statistical tools.
      • Develop mathematical models to predict business results from existing data.
      • Implement robust solutions identified through various solution generation techniques.
      • Successfully close the project and sustain benefits through various control mechanisms.

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