See description of materials for these turn-key Lean Six Sigma Instructor Training materials.

The following **19 topics** are included in the **Lean Six Sigma Green Belt Instructor Materials**, containing all the subject matter (and workshops) necessary for effective training of your Lean Six Sigma Yellow Belts, Champions, and Green Belts:

**Introduction to Six Sigma (27 slides)**

Definition of Six Sigma & its relation to Costs and Efficiency.

Popularity and Application of Six Sigma

Comparisons between typical TQM and Six Sigma Programs.

**How to Deploy Six Sigma (35 slides)**

Leadership responsibilities

Resource allocation

Data driven decision making

Organizational metrics and dashboards

**Six Sigma Projects (35 slides)**

Project Focus

Is it a Six Sigma Project?

Customer Focused Projects

Selecting Projects

Estimating Project Benefits

Overview of DMAIC methodology

Project Reporting

**DEFINE Stage Tools & Objectives (31 slides)**

Define Stage Objectives

Project Charter: Use and Development

Work Breakdown Structure.

Pareto Diagrams.

Process Maps.

SIPOC

Matrix Diagrams

**DEFINE: Metrics & Deliverables (37 slides)**

Critical to Quality (CTQ) Metrics

Throughput Yield (and comparison to traditional yield)

Rolled Throughput Yield

Normalized Yield

DPMO: Use and Misuse

Sigma Level

Critical to Schedule (CTS) Metrics

Cycle Time

Process Cycle Efficiency

Process Velocity

Overall Equipment Effectiveness (OEE)

Relation of CTQ and CTS Metrics to Critical to Cost (CTC) Metrics

**DEFINE: Project Scheduling (21 slides)**

Scheduling Project Activities & Events

Gantt Chart

Critical Path Analysis / Activity Network Diagram.

PERT Analysis

**DEFINE: Change Management and Six Sigma Teams (39 slides)**

Problems with Change

Achieving Buy-In

Team Formation, Rules & Responsibilities

Stages of Team Development

Overcoming Problems

Consensus Building

Affinity Diagram

Nominal Group Technique

Prioritization Matrix

**Measure Stage Tools and Objectives (44 slides)**

Measure Stage Objectives

Process Definition (Flowcharts, Process Maps, SIPOC)

Metric Definition

Establishing Process Baseline

Enumerative vs. Analytic Statistics.

Process Variation (Deming's Red Bead)

Benefits of Control Charts.

Requirements vs. Control (Tampering)

Control Chart as Process Baseline Tool

**MEASURE: X-Bar Charts (35 slides)**

Uses / Assumptions

Construction & Calculations.

Assumptions

Rational Subgroups

Sampling Considerations.

Interpretation (including Run Test Rules)

**MEASURE: Individuals Data (32 slides)**

Uses, comparison with X-Bar chart

Construction, calculations, assumptions, sampling considerations and interpretation:

Run Charts

Individual-X / Moving Range Charts

Moving Average Charts

EWMA Charts.

**MEASURE: Process Capability (24 slides)**

Histograms Use and Misuse

Probability Plots

Goodness of Fit Tests

Capability & Performance Indices (Relative to Process Control; Interpretation; Estimating Error)

**MEASURE: Attribute Charts (27 slides)**

Uses

Selection (P, U, Np, C Charts)

Construction & Calculations

Sampling Considerations

Interpretation

**MEASURE: Green Belt Data Collection Workshop (9 slides)**

Data Collection Activity

MSA Analysis of Data

Control Chart Analysis of Data

Capability Analysis of Data

**Analyze Stage Tools & Objectives (32 slides)**

Analyze Stage Objectives

Definition of Waste

Analyzing Process for NVA

Cycle Efficiencies

Lead Time and Velocity

Takt Time

Methods to Increase Velocity

Standardization

Optimization

Spaghetti Diagrams

Level Loading

When are Batches More Efficient?

Setup Reductions

**ANALYZE: Sources of Variation (40 slides)**

Multi-vari Plots

Confidence Intervals on Means & Percents

Hypothesis Testing Method, Assumptions and Uses

Hypothesis Tests on Mean, Two Sample Means, Paired Samples

Hypothesis Tests on Variance, Two Sample Variances

Contingency tables

Power & Sample Size Considerations

Non-parametric Tests

**ANALYZE: Regression Analysis (37 slides)**

Cause & Effect Diagrams.

Scatter Diagrams.

Correlation, Stratification, Extrapolation

Linear Regression Model

Interpreting the ANOVA Table

Confidence & Prediction Limits.

Residuals Analysis.

Overview of Multiple Regression Tools including Designed Experiments

**ANALYZE: DOE Basics (17 slides)**

Terminology

DOE vs. Traditional Experiments

DOE vs. Historical Data

Design Planning

Selecting Responses

Selecting Factors and Levels

**Improve Stage Tools and Objectives (33 slides)**

Improve Stage Objectives

Tools to Prioritize Improvement Opportunities

Defining New Process Flow

Lean Tools to reduce NVA and Achieve Flow

5S

Level Loading

Tools to Define & Mitigate Failure Modes

PDPC

FMECA

Preventing Failures

Reference to Tools for Defining New Process Levels

**Control Stage Tools & Objectives (19 slides)**

Control Stage Objectives

Methods of Control

Control Plans

Training

Measuring Improvement