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/ |
|
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/ |
|
Review of Week 1
Introduction to Multi-Vari Study Hypothesis Testing Confidence Intervals One and Two Sample Comparisons
Three or more Sample Comparison
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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