Lean Six Sigma Green Belt Upgrade to Black Belt Theory Training

Introduction:

The program “GB upgrade to BB” is designed for AAA VIETNAM to provide in advance of Lean Six Sigma Theory and Lean Six Sigma Tools using and application. It also provides company’s key staff “BB” the ability to apply the appropriate tool for Lean Six Sigma Project of continuous improvement in their respective areas.

Besides the Lean Six Sigma knowledge and technical, participants also know how to promote, maintain and manage Lean Six Sigma and how to build culture that employees always have the ability to detect, identify, select and proficient use of methods and Lean Six Sigma tools to solve problems and find optimal innovative solutions for customer and company in the future.

Duration:

10 days

Purpose:

To provide Lean Six Sigma Black Belt with additional quality tools and statistical tools that are indispensable to run projects of greater complexity and that have a greater impact on the overall organization’s performance.

Target Audience:

Lean Six Sigma Black Belt candidates who are trained Lean Six Sigma Green Belts with a proven history for success and excellent interpersonal skills. Leading teams in completing process improvement projects is one of the most critical elements for a successful Lean Six Sigma initiative.

Learning Objectives

At the end of this workshop, participants will be able to:

  1. Apply statistical software (Minitab) in data collection and data analysis.
  2. Understand the importance of mastering key foundational statistical tools (e.g., the normal theory).
  3. Apply advanced statistical tools in the MEASURE, ANALYZE and CONTROL phases of the DMAIC methodology.
  4. Coach Green Belts to improve the outcomes of their green belt projects.

Major Topics

  • Introduction to Minitab (for application throughout the course)
  • The normal theory, and transformation to normality
  • Process capability
  • Sampling and measurement system analysis (MSA)
  • Hypothesis testing
  • Regression analysis
  • Design of experiments (DOE)
  • Advanced Control charts

Note: Certification as a Lean Six Sigma Black Belt requires successful completion of this course, a passing grade on the final examination, and submission of a detailed report of 02 successful projects.

Method Key:

  • Example = example from outside data
  • Exercise = exercise on case study or outside data
  • Project exercise = exercise on the participant’s actual project


Program Contents:

MODULETOPICSMETHODTIME
Introduction·    Course purpose & objectivesPresentation and exerciseDay 1

Morning

·    Warm-up activity
Storyboard Gallery·    Gallery walk with storyboards displayedPresentations and critique
·    Feedback
Introduction to Minitab

 

·    Opening Minitab

·    Getting data

·    Saving files

·    Time plots

·    Histograms

·    Dot plots

Presentations, examples, and exercises

 

Introduction to Minitab (cont.)·    Scatter plots

·    Pareto charts

·    Individuals control charts

·    Review

Presentations, examples, and exercisesDay 1

Afternoon

Normal Theory·    Understanding variation
Wrap-up·    SummarizePresentation, discussion
·    Preview next day
·    Evaluation
Introduction·    Review evaluations Day 1Presentation, discussionDay 2

Morning

·    Questions and answers
Normal Theory·    Understanding variation

·    Normal theory

·    Testing for Normality

·    Transforming to Normality

Presentations, examples, and exercises
Normal Theory (cont.)·    Choosing a transformationPresentations, examples, and exercisesDay 2

Afternoon

·    Using transformed data with process sigma and control charts
Advanced Process Sigma·    Using Method 1 or Method 2 to calculate process sigmaPresentation, examples, and exercises
·    Review of process sigma concepts
·    Understanding shift
·    Process analysis
·    How to calculate shift
Wrap-up·    SummarizePresentation, discussion
·    Preview next day
·    Evaluation
Introduction·    Review evaluations Day 2Presentation, discussionDay 3

Morning

·    Questions and answers
Tests of Hypothesis: Making Comparisons·    Using distributions to judge differences

·    Comparing two group averages: The t-test

·    Overview of hypothesis tests

·    Comparing two group averages with matched data: The paired t-test

·    Comparing two or more group averages: ANOVA, part 1

Presentation, examples, and exercises
Tests of Hypothesis: Making Comparisons (cont.)·    Comparing variation between groups: ANOVA, part 2Presentation, examples, exercises, and project exerciseDay 3

Afternoon

·    Comparing two or more group proportions: The chi-square test
Advanced Control Charts·    Variations and individuals chartsPresentation, examples, and exercises
Wrap-up·    SummarizePresentation, discussion
·    Preview next day
·    Evaluation

 

 

MODULETOPICSMETHODTIME
Introduction·    Review evaluations Day 3Presentation, discussionDay 4

Morning

·    Questions and answers
Advanced Control Charts (cont.)·    Variation and individuals chartsPresentation, examples, and exercises
·    Control charts for discrete data: p, np, c, and u charts
·    Control charts for discrete data: p, np, c, and u charts (cont.)
Advanced Control Charts (cont.)·    Control charts for high-volume processes with subgroups: x-bar, r chartsPresentation, examples, exercises, and project exerciseDay 4

Afternoon

·    Control charts for detecting small shifts quickly: EWMA charts
·    Using control charts
Wrap-up·    SummarizePresentation, discussion
·    Preview next day
·    Evaluation
Introduction·    Review evaluations Day 4Presentation, discussionDay 5

Morning

·    Questions and answers
Improving Measurement Systems·    BackgroundPresentation, examples, and exercises
·    Gage R&R study
Improving Measurement Systems (cont.)·    Gage linearity studyPresentation, examples, and exercisesDay 5

Afternoon

·    Checking a measurement system for discrete data
Wrap-up·    SummarizePresentation, discussion
·    Preview next week
·    Evaluation
Introduction·    Review evaluations Day 5

·    Questions and answers

Presentation and exerciseDay 6

Morning

Project Presentations·    Share storyboardsPresentation, discussion
·    Share storyboards (cont.)
Quiz·    Quiz
Regression Analysis·    Introduction to linear regressionPresentation, examplesDay 6

Afternoon

Regression Analysis (cont.)·    Basics of regression analysisPresentation, examples, and exercises
·    General procedure for doing regression analysis (one X)
Wrap-up·    SummarizePresentation, discussion
·    Preview next day
·    Evaluation
Introduction·    Review evaluations Day 6Presentation, discussionDay 7

Morning

·    Questions and answers
Regression Analysis (cont.)·    Regression analysis with transformed data

·    Introduction to multiple linear regression

·    Multiple linear regression (cont.)

·    Working with multiple regression

Presentation, examples, and exercises
Regression Analysis (cont.)·    Working with multiple linear regression (cont.)

·    General procedure for multiple regression

·    Introduction to curvilinear regression and exercises

·    Regression with discrete X’s

Presentation, examples, and exercisesDay 7

Afternoon

Wrap-up·    SummarizePresentation, discussion
·    Preview next day
·    Evaluation

 

MODULETOPICSMETHODTIME
Introduction·    Review evaluations Day 7Presentation, discussionDay 8

Morning

·    Questions and answers
Regression Analysis (cont.)·    Logistic regression (discrete Y’s)Presentation, examples, exercises, project exercise
Sampling·    Determining sample sizePresentation, examples, and exercises
Sampling (cont.)·    Determining sample size (cont.)

·    Population versus process sampling

·    Sampling approaches

·    Sampling approaches (cont.)

Presentation, examples, and exercisesDay 8

Afternoon

Design of Experiments (DOE)·    Introduction to Design of ExperimentsPresentation, examples, and exercises
·    Computer simulation
Wrap-up·    SummarizePresentation, discussion
·    Preview next day
·    Evaluation
Introduction·    Review evaluations Day 8Presentation, discussionDay 9

Morning

·    Questions and answers
DOE (cont.)·    Computer simulation (cont.)

·    The factorial approach to designed experiments

·    Designing a full factorial experiment: example

·    Doing the experiment: example

·    Analyzing an experiment: example

Presentation, examples, and exercises
DOE (cont.)·    Reducing experimental trials: The half- fraction and confounding

·    Reducing experimental trials: Other fractional designs

·    Planning and preparing for a designed experiment

Presentation, examples, and exerciseDay 9

Afternoon

Wrap-up·    SummarizePresentation, discussion
·    Preview next day
·    Evaluation
Introduction·    Review evaluations Day 9Presentation, discussionDay 10

Morning

·    Questions and answers
DOE (cont.)·    Computer simulation (II)Presentation, exercise
Case Study: Advanced Tools Review·    Part 1

·    Part 2

Exercises
Case Study: Advanced Tools Review (cont.)·    Part 3

·    Part 4

·    Part 5

ExercisesDay 10

Afernoon

·    Solutions

·    Storyboard

Exercises
Wrap-up·    SummarizePresentation, discussion
·    Evaluation
Final ExamOpen book

Participant:

  • Black Belt, who are completed the Green Belt program selected to become Black Belt Lean Six Sigma.

Number of participants:

  • Number of participants should be not excess 15 people equal with 3-4 Black Belt Project.

Program Cost: 

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