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Pivotal Resources - Continuous Improvement

 

Lean Six Sigma Black Belt Training Agenda

The following is a typical Lean Six Sigma Black Belt training agenda. Pivotal Resources can customize the course material to client training requirements, as well as certification objectives.

Pivotal’s Black Belt Training emphasizes when and why statistical tools should be applied to add value and meaningful business knowledge, as well as how to apply these analytical methods.

Simply click on the subject content below to see more information, and click on the content again to close the box.

Introduction
  • Getting Started: Introductions
  • Key Outcomes
  • Agenda Review
  • Course Objectives
Overview of Statistics
  • Statistics, Variation, Sampling
  • Hypothesis Testing Overview
    • Null and alternative hypothesis
    • Probability of Error: Alpha and Beta
    • p value
  • Correlation and Regression
Introduction to Minitab
  • Minitab Layout and Menus
  • Toolbars
  • Basic Tools and Graphs
Measure
  • Interpreting Distributions
    • Measure of shape, center and spread
    • Manual calculation of “center”
      Activity: Coin drop exercise (10 min)
  • Use of Excel for “Percentile Range” Calculation
    Activity: Follow-along exercise – Pizza Delivery Cycle Time
  • Normality
  • Use of Minitab’s “Descriptive Statistics” function
    Activity: Follow-along exercise – Is my data normal?
  • Sampling (Review)
    • Process versus population
    • Population samples: continuous and discrete data
      Activity: Manually calculate population sample size (10 min)
  • Power Analysis
    • Alpha and Beta
    • Use of Minitab for more sophisticated power calculations
      Activity: Calculating Population Sample Size (10 min)
  • Process Sampling Techniques
    • Minimum sample size
    • Rational sub-grouping
      Activity: Manually calculating process sample size (10 min)
  • Measurement System Analysis
    • Repeatability, reproducibility, stability and linearity
    • Testing for repeatability and reproducibility (R&R)
  • Gage R&R – continuous data
    Activity: Gage R&R (15 min)
    Activity: Gage R&R Display – Water Measurements (40 min)
  • Discrete Data Analysis (aka Attribute R&R)
    Activity: Discrete Data Analysis using M&M’s (30 min)
  • Testing for Normality
  • Tools that Require Normality
  • Ways to Analyze Distributions
    Activity: Follow-along activity – Normal Probability Plots / Descriptive Statistics (20 min)
  • Transformation of Data
    • Example: Testing for normality and using transforms
      Activity: Testing for normality and using transforms (15 min)
  • Process Capability and Sigma
    • The Normal Distribution revisited – standard deviation and Z
    • Process Capability & Z Scores (continuous data)
      Activity: Follow-along activity – Calculating Z and Probabilities
      (15 min)
    • Process Capability & Z Scores (continuous data)
      Activity: Process Capability and Z Scores (continuous data) (20 min)
    • Long- and short-term Process Capability (“1.5 Sigma Shift”)
    • Understanding the enhanced sigma table
    • Options for calculating sigma from DPMO (Defects per Million Opportunities)
Analyze
  • Principles of Advanced Analysis
    • Overview of hypothesis testing
  • When to Use the Different Tests – Test Selection Process Map
  • Hypothesis Test (all hypothesis test discussions include a follow-along activity first…)
  • Chi-Square test, with follow-along example
    Activity: Chi-square calculations – manual and Minitab (15 min each)
  • T-test, with follow-along example
    Activity: t-test calculations (manual, 15 min)
  • Paired t-test, with follow-along example
    Activity: Select the right t-test and calculate (Minitab, 15 min)
  • F-Test, with follow-along
    Activity: Calculating F (manual or Minitab, 15 min)
  • ANOVA, one-way and two-way, with follow-along
  • Mood’s Median test (for non-normal data), with follow-along
  • Hypothesis test review (when to use which test)
    Activity: Select the right hypothesis test (15 min)
  • Correlation coefficients and scatter plots
  • Linear regression (with follow-along)
  • Simple linear regression – 1 X and 1 Y -– with follow-along
  • Understanding slope/intercept results and prediction equations
  • Interpreting results and checking assumptions
  • Understanding residuals and residual analysis
  • Using confidence intervals and prediction intervals
    Activity: Using Linear Regression Analysis (30 min)
  • Multiple regression analysis (multiple Xs and 1 Y)
  • Checking collinearity (using interaction plots and variance inflation factors – VIFs
  • Iterative calculation (with follow-along)
  • Using multiple regression analysis
    Activity: Using multiple regression analysis (30 min)
  • Intro of logistic regression (with follow-along)
    Activity: Using Logistic Regression Analysis (2 activities, 60 min total)
Improve
  • DOE (Design of Experiments)
    • When to Use/Why use
    • Types of designs, factors and levels
    • Disadvantages of “one factor at a time”
    • Full factorial design, 2K factorial example – follow-along full factorial design experiment
      Activity: Designing experiments – The Sigma Bubble Co.
      (3 Activities, 65 min total)
  • Case example follow-along – moving damage – interpreting DOE results
  • Interpreting results from bubble experiment
    Activity: Interpreting results – The Sigma Bubble Company (30 min)
  • Fractional designs (moving damage case, follow-along)
  • Aliasing (confounding) of factors and interactions
  • Opportunities to use DOE
    Activity: DOE Wrap-Up (10 min)
Control
  • Creating a control plan
    • Linking monitoring & response planning to FMEA
  • Monitoring plan
    • Measurement and Operational Definitions
    • Subgroups and frequency
    • Continuous and attribute data charts
  • Constructing and Interpreting Control Charts
    • Calculating control limits
      Activity: Selecting appropriate control charts / manually calculating control limits (25 min)
  • Constructing Control Charts in Minitab
    Activity: Follow-along activity – Designing control charts in Minitab (15 min)
  • Interpreting control charts
    Activity: Interpreting control charts from Minitab (15 min)
  • Selecting Control Charts
    Activity: Selecting control charts (15 min)
  • Response Plans
  • Damage control, process adjustment, assessing effectiveness
    Activity: Building a control plan (45 min)
Review/Conclusion

Activity: Planning your tools (15 min)

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