Lay the Foundation for Your Performance in a Six Sigma Manufacturing Environment
Cost Delivery Options Digital Brochure $2,300
Completed within 180 Days
Online Detailed information in a shareable format. download
For many manufacturers, Six Sigma project applications are well understood because of the extensive use of six sigma tools (SPC, DOE, pareto charts, etc.). This course focuses on the manufacturing industry using lean Six Sigma manufacturing case examples to reinforce Six Sigma principles. Successful completion of a real-word based Six Sigma project, as well as full Green Belt certification, communicates to employers the ability to conduct thorough analysis toward achieving measurable results.
Green Belt courses lay the foundation for performance in a Six Sigma environment. Much of this training is focused on how to apply Six Sigma tools and methodologies. Green Belts meet a variety of needs within an organization-wide Six Sigma strategy, often providing implementation support for sub-tasks within a high-impact project. Participants learn to apply Six Sigma tools and methodologies rather than acquiring a deep understanding of the statistical concepts behind them.
Each module of this course consists of 1–2 hours of online instruction, with an accompanying exercise, to culminate in a Six Sigma Green Belt project. Exercises are a combination of multiple choice and data analysis problem sets (Microsoft Excel is required to conduct analysis). The examples used throughout the course are based on real world Six Sigma projects.
- Six Sigma Green Belt Transactional Overview
- Defining a Transactional-Service Six Sigma Project
- Six Sigma DMAIC Problem Solving Model
- Six Sigma Process Mapping
- Six Sigma Voice of the Customer Analysis/Collecting Data
- Measure: Current the State of a Process (Metrics: Yield, DPM, DPMO)
- Creating Check Sheets
- Pareto Analysis
- Analyze: Qualitative Process Analysis: 5M's and P-Diagram
- Idea Diagrams: Cause-and-Effect, Affinity, Tree Diagram
- Descriptive Statistics
- Stratification Analysis
- Exploring Data Patterns: Frequency, Histogram
- Process Capability Analysis
- Two Variable Analysis: Scatter Plot/Regression
- Correlation Analysis
- Six Sigma Customer Survey Analysis
- Statistical Process Control Overview
- Throughput Analysis
- Improve and Control Phase
- Applying the Six Sigma Methodology: Case Study
- Conclusion/Six Sigma Green Belt Certification Project
Patrick Hammett, PhD
Lead Faculty, Six Sigma Programs
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Lecturer, Industrial & Operations Engineering
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- Basic Microsoft Excel Skills
- Basic Statistics Recommended
Students pursuing the University of Michigan Six Sigma Green Belt Manufacturing Certification must score 80% or higher on required exercises and complete a Six Sigma course project for certification. Students may either choose a manufacturing Six Sigma project from their own workplace (with instructor approval) or select a prepared case study project developed by University of Michigan faculty. These Six Sigma green belt case studies simulate actual projects and include a problem solving scenario with a data set. They have been designed such that students should be able to complete them entire Six Sigma Green Belt project in less than eight hours.
Upon successful completion of this 40 hour program, students will receive 4 Continuing Education Units (CEU's). This course is not for academic credit. CEU credits may not be applied toward a degree. The University of Michigan will provide necessary documentation upon request.
Program Fees and Timeline
$2,300 covers the Online Six Sigma Green Belt Manufacturing program.
Students have 180 days from the start of the program to complete the program and submit their project. Typically students complete the full certification within 3 months.