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Six Sigma Black Belt

$2,695.00 (USD)





I.    Six Sigma Introduction
            A.    Definition of Six Sigma & Its Relation to Costs and Efficiencies
            B.    Popularity and Application of Six Sigma
            C.    Comparisons Between Typical TQM and Six Sigma Programs
II.    How to Deploy Six Sigma
            A.    Leadership Responsibilities
            B.    Resource Allocation
            C.    Data-driven Decision Making
            D.    Organizational Metrics and Dashboards
III.    Six Sigma Projects
            A.    Project Focus
            B.    Project Selection
            C.    Estimating Project Benefits
            D.    Overview of DMAIC Methodology
            E.    Project Reporting
IV.    Define Stage Tools & Objectives
            A.    Define Stage Objectives
            B.    Project Charter: Use and Development
V.    DEFINE: Metrics & Deliverables
            A.    Critical to Quality (CTQ) Metrics
            B.    Critical to Schedule (CTS) Metrics
            C.    Relation of CTQ and CTS Metrics to Critical to Cost (CTC) Metrics
VI.    DEFINE: Project Financials

            A.    Cost of Poor Quality
            B.    Quantifying Project Benefits
            C.    CTC Calculations
VII.    DEFINE: Project Scheduling
            A.    Scheduling Project Activities & Events
VIII.    DEFINE: Change Management/Teams
            A.    Problems With Change
            B.    Achieving Buy-in
            C.    Team Formation, Rules, and Responsibilities
            D.    Consensus Building
IX.    Measure Stage Tools and Objectives
            A.    Measure Stage Objectives
            B.    Process Definition
            C.    Metric Definition
            D.    Establishing Process Baseline
            E.    Control Chart as a Process Baseline Tool
X.    MEASURE: Probability & Distributions
            A.    Probability Rules
            B.    Distribution Use & Interpretation in MS Excel and Minitab
            C.    Probability Plots
            D.    Goodness of Fit Tests
            E.    Curve Fitting with Johnson Distributions
XI.    MEASURE: X-Bar Charts
            A.    Uses
            B.    Construction and Calculations
            C.    Assumptions
            D.    Rational Subgroups
            E.    Sampling Considerations
            F.    Interpretation
XII.    MEASURE: Individuals Data
            A.    Uses, Comparison with X-Bar Chart
            B.    Construction, Calculations, Assumptions, Sampling Considerations and Interpretation
XIII.    MEASURE: Process Capability
            A.    Histograms Use and Misuse
            B.    Probability Plots
            C.    Goodness of Fit Tests
            D.    Capability and Performance Indices
XIV.    MEASURE: Attribute Charts
            A.    Uses
            B.    Selection (P, U, Np, C Charts)
            C.    Construction and Calculations
            D.    Sampling Considerations
            E.    Interpretation
XV.    MEASURE: Short Run SPC
            A.    Uses
            B.    Calculations
XVI.    MEASURE: Measurement Systems Analysis
            A.    Stability Studies
            B.    Linearity Analysis
            C.    R&R Analysis
XVII.    Analyze Stage Tools & Objectives
            A.    Analyze Stage Objectives
            B.    Definition of Waste
            C.    Analyzing Process for NVA
            D.    Methods to Increase Velocity
XVIII.    ANALYZE: Sources of Variation
            A.    Multi-vari Plots
            B.    Confidence Intervals on Mean
            C.    Confidence Intervals on Percent
            D.    Hypothesis Test on Mean
            E.    Hypothesis Test on Mean of Two Samples
            F.    Power and Sample Size
            G.    Contingency Tables
            H.    Non-parametric Tests
            A.    Assumptions
            B.    Bartlett’s Equality of Variance Test
            C.    One-Way ANOVA in Excel & Minitab
            D.    Two-Way ANOVA in Excel & Minitab
            E.    Multi-Factor ANOVA in Excel & Minitab
XX.    ANALYZE: Regression Analysis
            A.    Cause & Effect Diagrams
            B.    Scatter Diagrams
            C.    Linear Regression Model
            D.    Interpreting the ANOVA Table
            E.    Confidence and Prediction Limits
            F.    Residuals Analysis
            G.    Overview of Multiple Regression Tools including Designed Experiments
XXI.    ANALYZE: Multiple Regression
            A.    Multivariate Models
            B.    Interaction Plots
            C.    Interpreting ANOVA Tables
            D.    Model Considerations
            E.    Stepwise Regression
            F.    Residuals Analysis
XXII.    ANALYZE: Introduction to Designed Experiments
            A.    Terminology
            B.    DOE vs. Traditional Experiments
            C.    DOE vs. Historical Data
            D.    Design Planning
            E.    Design Specification
            F.    Complete Factorials
            G.    Fractional Factorials
XXIII.    ANALYZE: DOE Analysis Fundamentals
            A.    Estimating Effects and Coefficients
            B.    Significance Plots
            C.    Estimating Error
            D.    Extending Designs
            E.    Power of Design
            F.    Lack of Fit
            G.    Tests for Surface Curvature
XXIV.    ANALYZE: Design Selection
            A.    Desirable Designs
            B.    Performance
            C.    Other Design Models
XXV.    ANALYZE: Transformations
            A.    Need for Transformations
            B.    Non-constant Variance
            C.    Box-Cox Transforms
            D.    Calculated Parameters
            E.    Taguchi Signal to Noise Ratios
XXVI.    Improve Stage Tools and Objectives
            A.    Improve Stage Objectives
            B.    Tools to Prioritize Improvement Opportunities
            C.    Tools to Define New Process Flow
            D.    Tools to Define and Mitigate Failure Modes
            E.    Reference to Tools for Defining New Process Levels
XXVII.    IMPROVE: Response Surface Analysis
            A.    Objectives
            B.    Applications
            C.    Sequential Technique
            D.    Steepest Ascent
XXVIII.    IMPROVE: Ridge Analysis
            A.    Graphical Method
            B.    Analytical Method
            C.    Overlaid Contours
            D.    Desirability Function
XXIX.    IMPROVE: Simulations
            A.    Applications
            B.    Examples
            C.    Applying Probabilistic Estimates
XXX.    IMPROVE: Evolutionary Operation
            A.    Methodology
            B.    Example
            C.    Risks and Advantages
XXXI.    Control Stage Tools & Objectives
            A.    Control Stage Objectives
            B.    Methods of Control
            C.    Control Plans
            D.    Training
            E.    Measuring Improvement
            F.    Applying Lessons Learned
XXXII.    CONTROL: Serial Correlation
            A.    Applications
            B.    Estimating Autocorrelation
            C.    Interpreting Autocorrelation
            D.    Batch Control Charts
XXXIII.    Design for Six Sigma Overview
            A.    Methodology
            B.    Tools for DFSS
            C.    System, Parameter, and Tolerance Designs






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