Six Sigma Green Belt

Course Dates
March 14, 15, 21, 22, 28, 29 & April 4, 5, 11, 12
8:30am-4:30pm (EST) each day

Course Description
Six Sigma Green Belt training is organized around the five main phases of the Six Sigma Process Improvement Roadmap: Define, Measure, Analyze, Improve and Control (DMAIC). Candidates participate in two training sessions, with at least three weeks in between, allowing them to apply the material learned to their project.

For project-based training, project reviews during each training session maintain project focus. In this case, it is the responsibility of the Champion to ensure that their Belt candidates arrive at class with a proper project charter.

Optional: In between training, QSG can provide coaching and guidance to ensure that the methodology and roadmap are used appropriately. This is a separate service provided apart from this 80-hour training program.

Who Should Attend
This course is designed for process, product, and quality engineers who will lead project teams to achieve quality, yield, and productivity improvements.

Learning Objectives
Through training, participants will:

Know the process improvement roadmap DMAIC to systematically define, measure, analyze, improve, and finally control the process
Know how to identify projects and define the project charter
Achieve an in-depth understanding of the knowledge based and data based (statistical) methods and tools to characterize and baseline the process
Be able to perform Multi-Vari studies to determine the various sources of noise in the process
Be able to design experiments to screen, characterize, and optimize the process with respect to controllable process factors
Know about various control methods to ensure that the improvement achieved is sustained

Course Outline

Week/Phase

Objectives

Topics

Week 1

(40 hrs)

Define/
Measure/
Analyze

Overview of Six Sigma
Document key information about project
Describing a process and its characteristics
Identify potential inputs (X’s) and outputs (Y’s)
Focusing and Prioritizing
Collecting data and ensuring accuracy
Understand process stability and capability of meeting customer’s requirements
Perform Risk Analysis (FMEA) on key input variables

Introduction to Six Sigma

DMAIC/DMADV Roadmaps

Project Scoping and Chartering

SIPOC/Process Mapping

Cause and Effect Matrix

Introduction to Minitab or JMP

Basic Statistics/Quality Tools

Central Limit Theorem

Introduction to SPC

Measurement System Analysis

Capability Study

Initial Control Plan

Failure Mode and Effects Analysis

Project Review

Week/Phase

Objectives

Topics

Week 2

(40 hrs)

Analyze/
Improve/
Control

Determine the effect of uncontrollable (noise) and controllable variables on the key output variables through passive data observations.
Obtain clues for the Improve phase.
Identify key process input variables to be used in the Improve phase.
Effectively perform process characterization to understand system behavior including main effects and interactions.
Control Methods to ensure process performance is maintained.

Review of Week 1

Introduction to Multi-Vari Study

Hypothesis Testing

Confidence Intervals

One and Two Sample Comparisons

t-tests
Assumptions underlying t-tests

Three or more Sample Comparison

One Way Analysis of Variance
Blocking
Residual Analysis

Simple Regression

Chi Square Test

Non-Parametric Tests for Medians

Sample Size Determination

Introduction to DOE

General Factorial Designs

Control Methods

Final Control Plan

Project Review

Prerequisites
None

Course Format
80 hours
Instructor-led class training, with opportunities to practice learned skills using prepared data, live demonstrations and data collected real time in class

Minitab or JMP Statistical Software

Course Instructors:
Dave Margil – Consultant, Lean Six Sigma
Paul Mullenix – Consultant, Statistical/Quality Methods and Six Sigma for Manufacturing, Research, and Service Industries

8:30am-4:30pm (EST) each day

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