# Lean Six Sigma Black Belt

The Lean Six Sigma Black Belt is a professional who is well versed in the Lean Six Sigma Methodology, who leads complex improvement projects, typically in a full-time capacity. A Lean Six Sigma Black Belt possesses a thorough understanding of all aspects of the Lean Six Sigma Method including a high-level of competence in the subject matters contained within the phases of Define, Measure, Analyze, Improve and Control (DMAIC). A Lean Six Sigma Black Belt understands how to implement, perform, interpret and apply Lean Six Sigma at an advanced level of proficiency.

### COURSE OUTLINE

### CANCELLATION POLICY

### CLASSROOM POLICY

**Lean Six Sigma Yellow Belt**

4-5 Days

**Course Outline**

__DEFINE Phase__

- Six Sigma Overview
What is Six Sigma

Six Sigma History

Y = f(x) Approach

Six Sigma Methodology

Roles & Responsibilities

- Fundamentals of Six Sigma
Defining a Process

VOC & CTQ’s

QFD

Cost of Poor Quality

Pareto (80:20 rule)

- Lean Six Sigma Projects
Six Sigma Metrics

Business Case & Charter

Project Team Selection

Project Risk Management

Project Planning

- Lean Fundamentals
Lean & Six Sigma

History of Lean

The Seven Deadly Muda

Five-S (5S)

__MEASURE Phase__

- Process Definition
Cause & Effect Diagrams

Cause & Effects Matrix

Process Mapping

FMEA

Theory of Constraints

- Six Sigma Statistics
Basic Statistics

Descriptive Statistics

Distributions & Normality

Graphical Analysis

- MSA
Precision & Accuracy

Bias, Linearity & Stability

Gage R&R

Variable & Attribute MSA

- Process Capability
Capability Analysis

Concept of Stability

Attribute Capability

Discrete Capability

Monitoring Techniques

__ANALYZE Phase__

- Patterns of Variation
Multi-Vari Analysis

Classes of Distributions

- Inferential Statistics
Understanding Inference

Sampling

Sample Size

Central Limit Theorem

- Hypothesis Testing
Hypothesis Testing Goals

Statistical Significance

Risk; Alpha & Beta

Types of Hypothesis Test

- Hypothesis Tests: Normal Data
One and Two Sample t-tests

One Sample Variance

One Way ANOVA

- Hypothesis Tests: Non-Normal
Mann-Whitney & Mood’s Median

Kruskal-Wallis

Moods Median

Friedman

1 Sample Sign

1 Sample Wilcoxon

1 and 2 Proportion

Chi-Squared

Test of Equal Variances

__IMPROVE Phase__

- Simple Linear Regression
Correlation

X-Y Diagram

Regression Equations

Residuals Analysis

- Designed Experiments
Experiment Objectives

Experimental Methods

DOE Considerations

Full Factorial Experiments

2k Full Factorial Designs

Linear & Quadratic Models

Orthogonal Designs

Model & Center Points

- Fractional Factorials
Designs

Confounding Effects

Experimental Resolution

__CONTROL Phase__

- Lean Controls
Control Methods for 5S

Kanban

Poka-Yoke

- SPC
Data Collection for SPC

I-MR Chart

Xbar-R Chart

U Chart

P Chart

NP Chart

X-S chart

CumSum Chart

EWMA Chart

Control Methods

Control Chart Anatomy

Variation & Sampling

Control Limits

- Six Sigma Control Plans
Cost Benefit Analysis

Control Plan Elements

Response Plan