Six Sigma Green Belt

Course Description & Learning Objectives
Six Sigma emphasizes quality improvement, but is more than just statistics and tools. The Six Sigma methodology is a systematic application that is focused on achieving bottom line financial improvements and increasing customer satisfaction. When properly applied on carefully selected business projects, Six Sigma can lead to significant reduction in and often eliminates altogether, defective and out of control processes. That improvement translates directly to immediate and dramatic financial profitability.

Six Sigma Green Belts provide value to sponsoring organisations in several ways. They serve as the work team for Black Belt projects, collecting and analysing data, developing process maps and in carrying out design of analysis and experiments. These activities serve both as support and accelerate progress in every project to help maximise the organisation's return on investment, adding capacity and greater numbers of breakthrough improvement projects.

Green Belts are often referred to as the engine room of Six Sigma projects. They are often assigned specific improvement projects, within the scope of their normal day to day duties that require an intermediate level of applied statistical analysis.

Bonus: Attendees can apply for credit for 1 course in the Master of Management program at UniSA.

Learning Outcomes

Learn how to function as a 'tools application' member of a six sigma team
Lead and execute process-level improvement projects
Collect process data and develop process maps
Develop statistical hypotheses using simple statistical tools
Design simple experiments that help validate improvement options
Work with process owners to ensure process gains are held

Market Focus: Cross-Market

Duration: 10 days total; scheduled one week per month for 2 months

Detailed Course Agenda:

Week One

Six Sigma Overview
Rolled Throughput Yield
Process Mapping
Failure Mode & Effects Analysis
Probability
Introduction to Statistics
Confidence Intervals
Basic Tools
Measurement System Analysis (Gage R&R)
Hypothesis Testing
Project Planning

Week Two

Correlation and Regression
Analysis of Variance
Introduction to Design of Experiments
Randomized Blocks
Full Factorial Experiments
Statistical Process Control
Control Planning and Application
Mistake Proofing
Project Planning

Have your own enterprise specific training delivered in-house

Pricing
Attendance is offered at $5,500 per person for the 10 day program including certification exam, with a 10% discount to UniSA Graduates and Early Bird registrations.

Contact us to discuss our special corporate rates for customised training to suit your organisation's culture, business sector and improvement strategy. Industrial worker