Lean and Six Sigma Certificate Programs

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Six Sigma Black Belt

Program Description

The Six Sigma Black Belt Certificate program follows the structured Six Sigma “DMAIC” methodology to introduce proven process improvement principles, tools, and techniques to improve processes within your organization. The DMAIC is an acronym for the five phases of Six Sigma methodology; Define, Measure, Analyze, Improve, and Control that is based on established statistical process control techniques, data analysis and planning and experimental design methods. The data-driven methodology is used to eliminate defects, waste or quality problems in manufacturing, service delivery, management and other business activities. Students are taught the tools and techniques in order to successfully launch a project, develop and transition it from phase to phase, and finally, how to complete a project and evaluate its success. In addition, participants develop team leadership skills and understands all aspects of the DMAIC model in accordance with Six Sigma principles. The certificate program follows the ASQ “Body of Knowledge” for the Six Sigma Black Belt.

Program Objectives

  • Understand the role of Lean Six Sigma within organizations
  • Describe and apply the DMAIC methodology in order to scope, define and lead projects as well as to define key strategic business issues throughout each phase
  • Apply statistical analysis to determine root causes as well as relationships between key inputs and process outputs
  • Present projects to instructors, peers and managers for continuous feedback

Tentative Schedule

Day Topics
Day 1 Six Sigma Overview, Enterprise-wide View
Leadership and Deployment
Day 2 Project Selection and Management
Project Management, Project Charter
Day 3 Team Management
Team Dynamics
Day 4 Process Definition and Documentation
Voice of Customer (VOC), Report Out Requirements
Day 5 Probability and Descriptive Statistics
Process Capability
Day 6 Data Collection Plan
Sample Size Calculations
Day 7 Measurement Systems Analysis (Gage R&R)
Attribute Agreement Analysis
Day 8 Hypothesis Testing
Analysis of Variance (ANOVA)
Day 9 Multi-var Studies, MANOVA
Risk Analysis and Mitigation
Day 10 Correlation Coefficient
Regression Analysis
Day 11 Failure Mode Effects Analysis (FMEA)
Cost Benefit Analysis and Implementation Planning
Day 12 Design of Experiements: Planning
DOE Exercise
Day 13 Design of Experiements: Analysis
DOE Exercise
Day 14 Process Control Plan
Intro to Statistical Process Control
Day 15 Variable and Attribute Control Charts
Control Chart Exercises
Day 16 Six Sigma: Case Study
Planning for Project Closure