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Green Belt and Black Belt Training Outlines
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OSG will provide green belt candidates with twenty days of training designed to provide them with the requisite skills for successfully leading LSS projects. This will be delivered in four segments of five days each at four to six week intervals timed to coincide with each phase of an LSS project. This enables candidates to receive the training they need on a “just in time” basis. Key areas addressed by the training include:
Lean-Six Sigma Green Belt Training Course Outline (DMAIC)
Introduction and Define Phase
Six Sigma Orientation
Team leadership
DMAIC Roadmaps: Define & Measure
Process Mapping Review
Team Building Overview
Cause & Effect Diagrams
How to Use Mini-tab
Probability & Statistics Review (Mini-tab**)
M&M Exercise and Dice Exercise-Normal Distribution
Measure Phase
Process Capability (Mini-tab)
Measurement Systems Analysis(MSA) &
Gage R&R Exercise
Probability Distribution
Hypothesis Testing Variable Data (Mini-tab)
Review of Potential Green Belt Projects
Analyze Phase (Continued)
Catapult Data Collection Exercise
Catapult Data Analysis (Minitab)
Analysis of Variance (ANOVA)
Sample Size Selection
Improve Phase
FMEA
Design of Experiments Introduction
Full Factorial Design (Minitab)
Helicopter Exercise Data Collection & Summarization
Helicopter Data Analysis (Minitab)
Control Phase
Statistical Process Control (SPC)
Variables Control Charts
Attribute Control Charts
Control Plan
Review for Green Belt Exam
Green Belt Exam ( 3hrs)
QSG will provide black belt candidates with thirty days of training designed to provide them with the requisite skills for successfully leading LSS projects. This will be delivered in four segments of five days each at four to six week intervals timed to coincide with each phase of an LSS project. Key areas addressed by the training include:
LEAN-SIX SIGMA BLACK BELT COURSE OUTLINE
I. INTRODUCTION
What is Lean-Six Sigma?
DMAIC Process
Building a Lean-Six Sigma program
Managing Lean-Six Sigma project
Different Belt Levels in Lean-Six Sigma
II. DEFINE PHASE
Problem Statements
Goal Statements
Project Structure
Project Plans
Stakeholder Analysis
Project Charter
Write a Project Charter for your Black Belt Project
III. MEASURE PHASE
Costs of Poor Quality (COPQ)
Voice of the Customer (VOC)
Critical to Quality (CTQ) Trees
SIPOC Diagram
Key Performance Indicators (KPI’s)
Data Collection Methods
Data Collection Plans & Sampling
Introduction to Statistics and Probability
Z-Calculation
Sample Sizes
Sampling Frequency
Introduction to Minitab 14
Process Mapping
Value Stream Mapping (Current State)
Measurement System Analysis (MSA)
1st Pass Analysis
Distributions shapes and the Normal distribution
Normal Distribution in Theory and Practice
Process Stability
Short and Long Term Variation
Process Capability
Introduction to the Kaizen Methodology
IV. ANALYZE PHASE
The Root Cause Process
1. Pareto Analysis
2. Process Mapping
3. Affinity Diagrams and Brainstorming Techniques
4. Failure Mode and Effect Analysis (FMEA)
5. Fishbone (Ishikawa) Diagrams
6. 5 Whys
The Minitab Analysis
1. MINITAB’s ‘Display Descriptive Statistics”
Graphical Results to Statistical Significance
Confidence Intervals
Hypothesis Tests for Variation
1. MINITAB’s Test for Equal Variance
2. Hypothesis Tests for Proportions
Correlation and Regression Overview
V. IMPROVE PHASE
Introduction to Kanban (How to set up a Kanban System)
Value Stream Mapping (Future State)
Design of Experiments (DOE) – Overview
1. 2-Level Full Factorial Designs
2. Factorial DOE’s
3. Optimizing Designed Experiments
4. Design of Experiments Software
Improve Checklist and Review Questions
VI. CONTROL PHASE
Statistical Process Control (SPC) – Overview
1. SPC (Variable and Attribute)
I-MR Charts
X Bar – R Charts
U Charts
P Charts
Short Run
Mistake Proofing-Poka Yoke
Project Reports and Action Logs
VII. BLACK BELT EXAM
VIII. BLACK BELT PROJECT
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