Lean Six Sigma Green Belt Training Course



Lean Six Sigma Green Belt Training Course: Introduction

Two household brand names can be used as examples to explain Lean process six sigma. Harley-Davidson was in big financial trouble when they were bought by a group of investors in 1981, the investors went in with a clear goal in mind – not just survival, but successful survival. Bringing them back from the brink of ruin was implementing the Just-In-Time principle. Ten years later Toyota was in the same position that Harley-Davidson was. They took the Just-In-Time principle and created a business philosophy around it. These principles became known as Lean process six sigma. They cultivated a culture of excellence from the ground up and by using Six Sigma to streamline production, effectively got rid of overstocking, under producing, time ineffiency and low production. We welcome participants to our Six Sigma courses and assure you of the benefits implementing the system will bring.

Lean Six Sigma Green Belt Training Course :Course Outline

1. Introduction
(a) The Basics of Lean Six Sigma
What Lean Six Sigma Means
Continuous Improvement
Deliverables of a Lean Six Sigma Project
A problem solving strategy Y=f(x) Employee
Six Sigma Roles and Responsibilities
(b) The Fundamentals of Six Sigma
Defining a Process
(CTQ’s) Critical To Quality Characteristics
(COPQ) The Cost of Poor Quality
(80:20 Rule) Pareto Analysis
Basic Six Sigma Metrics
Deriving the metrics.
(c) Lean Six Sigma Projects Charter
Developing Project Metrics
Financial Evaluation and Benefits Capture
(d) The Lean Enterprise
Understanding Lean
The History of Lean
Lean and Six Sigma
The Seven Elements of Waste
Over processing

2. Process Definition Measuring Phase
(a) Cause and Effect
Fishbone Diagrams
X-Y Diagram
(FMEA) Failure Modes and Effects Analysis
(b) Six Sigma Statistics
Basic Statistics
Descriptive Statistics
Normal Distributions
Graphic Analysis
(c) Measurement System Analysis
Precision and Accuracy
Bias – Linearity and Stability
Gage Repeatability and Reproducibility
Variable and Attribute MSA
(d) Process Capability
Capability Analysis
Concept of Stability
Attribute and Discrete Capability
Monitoring Techniques

3. Analyse Phase
(a) Patterns of Variation
Multi-Variable Analysis
Classes of Distributions
(b) Inferential Statistics
Understanding Inference
Sampling Techniques and Uses
Central Limit Theorem
(c) Hypothesis Testing
Significance: Practical vs. Statistical
Risk: Alpha and Beta
Types of Hypothesis Test
(d) Hypothesis Testing With Normal Data
1 & 2 sample t-tests
One Sample Variance
Testing and Sample Size Results
(e) Hypothesis Testing with Non-Normal Data
Mann – Whitney
Kruskal – Wallis
Mood’s Median
One Sample Sign
One Sample Wilcoxon
One and Two Sample Proportion
Chi-Squared (Contingency Tables)
Testing and Sample Size Results

4. Improvement Phase
(a) Simple Linear Regression
Regression Equations
Residuals Analysis
(b) Multiple Regression Analysis
Non- Linear Regression
Multiple Linear Regression
Confidence & Prediction Intervals
Residuals Analysis
Data Transformation, Box Cox

5. Control Phase
(a) Lean Controls
Methods of Control for 5S
(Mistake Proofing) Poka-Yoke
(b) (SPC) Statistical Process Control
Data Collection for SPC
I-MR Chart
Xbar – R Chart
U Chart
P Chart
NP Chart
X-S Chart
CumSum Chart
EWMA Chart
Control Chart Anatomy
(c) Six Sigma Control Plans
One Cost Benefit Analysis
Elements of the Control Plan
Elements of the Response Plan

Lean Six Sigma Green Belt Training Course: Course Duration

4 day/s

Who should attend: Lean Six Sigma Green Belt Training Course

This course is intended for companies wishing to implement Lean Six Sigma.

**Quote does not include Any Exam Fees (if applicable)

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