Six Sigma Green Belt training provides a solid understanding of the concepts of Six Sigma along with the tools and methodologies needed to identify and effect significant improvements in quality, cost and customer satisfaction. Targeted specifically for those individuals who will be supporting Six Sigma teams on a part-time basis, students will learn how to identify improvement opportunities, measure and analyze a process, develop, assess and implement solutions, and establish controls to optimize and fix the gains. This program can be used as a stand-alone certificate or as an initial milestone towards the Six Sigma Black Belt certificate. Students receive the Six Sigma Green Belt Certificate upon successful completion of program requirements.

Course Objectives:
Participants will learn:

• The concept of Six Sigma
• How to identify strategic improvement opportunities
• The major components of the DMAIC process
• Tools used in each component of the DMAIC process

Who Should Attend:

Managers, team leaders, engineers, quality professionals and others involved in the systematic identification and realization of significant process improvement. Note: Students will receive instruction on how to use the Minitab(TM) statistical software program to conduct process analysis. While no previous experience with Minitab is required, students should have access to the program for maximum effectiveness after the training.

Day 1 Overview of Six Sigma

• History of Six Sigma
• The Six Sigma Model
• What Six Sigma Really Means
• Benefits of Six Sigma

Project Selection

• Linking Six Sigma to your Business Strategy
• The Balanced Scorecard
• Project Selection Criteria
• Selecting Six Sigma Projects
• Project Approval - Obtaining Management Commitment

Day 2
Define

• Developing the Project Charter
• Understanding the Current Process
• Process Mapping and SIPOC
• Concepts of Variation
• Descriptive Statistics
• Refining the Project Description and Setting the Baseline - Cost, Time and Quality

Day 3
Measure

• Identifying Data Requirements
• Types of Data
• Process Capability
• Developing a Data Collection Strategy and Plan
• Data Collection Tools and Methods
• Measurement Systems Analysis

Day 4
Analyze

• Data Analysis Tools and Methods
  • Brainstorming
  • Affinity Diagrams
  • Cause and Effect Diagrams
  • Pareto Charts
  • Trend Charts
  • Prioritization Matrices
• Basic Statistical Process Control
• Simple Applied Statistics

Day 5
Improve

• Identifying Potential Solutions
• Behavior vs. Technical Controls and Mistake Proofing
• Selecting Solutions - Benefits vs. Costs
• Assessing the Risks to Implementation
• Using Force Field Analysis to Assess Risk
• Using FMEA to Assess Risks
• Implementing Solutions - Creating an Implementation Plan

Control

• Institutionalizing the Solutions
  • Documentation
  • Training
  • FMEA
• Ongoing Monitoring

To register, contact:
Elena O'Connor, On-site Programs
Phone: (734)487-4926
eoconnor@emich.edu