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:
- Apply statistical software (Minitab) in data collection and data analysis.
- Understand the importance of mastering key foundational statistical tools (e.g., the normal theory).
- Apply advanced statistical tools in the MEASURE, ANALYZE and CONTROL phases of the DMAIC methodology.
- 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:
| MODULE | TOPICS | METHOD | TIME |
| Introduction | · Course purpose & objectives | Presentation and exercise | Day 1 Morning |
| · Warm-up activity | |||
| Storyboard Gallery | · Gallery walk with storyboards displayed | Presentations 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 exercises | Day 1 Afternoon |
| Normal Theory | · Understanding variation | ||
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next day | |||
| · Evaluation | |||
| Introduction | · Review evaluations Day 1 | Presentation, discussion | Day 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 transformation | Presentations, examples, and exercises | Day 2 Afternoon |
| · Using transformed data with process sigma and control charts | |||
| Advanced Process Sigma | · Using Method 1 or Method 2 to calculate process sigma | Presentation, examples, and exercises | |
| · Review of process sigma concepts | |||
| · Understanding shift | |||
| · Process analysis | |||
| · How to calculate shift | |||
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next day | |||
| · Evaluation | |||
| Introduction | · Review evaluations Day 2 | Presentation, discussion | Day 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 2 | Presentation, examples, exercises, and project exercise | Day 3 Afternoon |
| · Comparing two or more group proportions: The chi-square test | |||
| Advanced Control Charts | · Variations and individuals charts | Presentation, examples, and exercises | |
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next day | |||
| · Evaluation |
| MODULE | TOPICS | METHOD | TIME |
| Introduction | · Review evaluations Day 3 | Presentation, discussion | Day 4 Morning |
| · Questions and answers | |||
| Advanced Control Charts (cont.) | · Variation and individuals charts | Presentation, 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 charts | Presentation, examples, exercises, and project exercise | Day 4 Afternoon |
| · Control charts for detecting small shifts quickly: EWMA charts | |||
| · Using control charts | |||
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next day | |||
| · Evaluation | |||
| Introduction | · Review evaluations Day 4 | Presentation, discussion | Day 5 Morning |
| · Questions and answers | |||
| Improving Measurement Systems | · Background | Presentation, examples, and exercises | |
| · Gage R&R study | |||
| Improving Measurement Systems (cont.) | · Gage linearity study | Presentation, examples, and exercises | Day 5 Afternoon |
| · Checking a measurement system for discrete data | |||
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next week | |||
| · Evaluation | |||
| Introduction | · Review evaluations Day 5 · Questions and answers | Presentation and exercise | Day 6 Morning |
| Project Presentations | · Share storyboards | Presentation, discussion | |
| · Share storyboards (cont.) | |||
| Quiz | · Quiz | ||
| Regression Analysis | · Introduction to linear regression | Presentation, examples | Day 6 Afternoon |
| Regression Analysis (cont.) | · Basics of regression analysis | Presentation, examples, and exercises | |
| · General procedure for doing regression analysis (one X) | |||
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next day | |||
| · Evaluation | |||
| Introduction | · Review evaluations Day 6 | Presentation, discussion | Day 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 exercises | Day 7 Afternoon |
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next day | |||
| · Evaluation
| |||
| MODULE | TOPICS | METHOD | TIME |
| Introduction | · Review evaluations Day 7 | Presentation, discussion | Day 8 Morning |
| · Questions and answers | |||
| Regression Analysis (cont.) | · Logistic regression (discrete Y’s) | Presentation, examples, exercises, project exercise | |
| Sampling | · Determining sample size | Presentation, examples, and exercises | |
| Sampling (cont.) | · Determining sample size (cont.) · Population versus process sampling · Sampling approaches · Sampling approaches (cont.) | Presentation, examples, and exercises | Day 8 Afternoon |
| Design of Experiments (DOE) | · Introduction to Design of Experiments | Presentation, examples, and exercises | |
| · Computer simulation | |||
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next day | |||
| · Evaluation | |||
| Introduction | · Review evaluations Day 8 | Presentation, discussion | Day 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 exercise | Day 9 Afternoon |
| Wrap-up | · Summarize | Presentation, discussion | |
| · Preview next day | |||
| · Evaluation | |||
| Introduction | · Review evaluations Day 9 | Presentation, discussion | Day 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 | Exercises | Day 10 Afernoon |
| · Solutions · Storyboard | Exercises | ||
| Wrap-up | · Summarize | Presentation, discussion | |
| · Evaluation | |||
| Final Exam | Open 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:
