Six Sigma Green Belt Training - AERA Energy
Lean Six Sigma combines the speed and agility of Lean with the statistical predictability of Six Sigma to create solutions for better business practices and dramatic bottom line results.
Course Schedule
Starts April 13, 2021
Program Duration
80 hours
Online Bootcamp
With Live-Instructor
Program Overview
Lean Six Sigma combines the speed and agility of Lean with the statistical predictability of Six Sigma to create solutions for better business practices and dramatic bottom line results.
Over 35 tools are taught to allow students to gain process knowledge to make their processes Better, Faster, Lower Cost, and Safer. They will deploy these tools through a project using the Define, Measure, Analyze, Improve, and Control (DMAIC) roadmap. The Six Sigma tools strive to reduce process variance, measure the process, find optimal settings in a pursuit of perfection.
Who Should Attend:
This workshop is intended for participants who can facilitate process improvement projects within their organization. On their own, participants are able to facilitate process improvement projects that are not too complex and confined within their own area of responsibility or control and typically work under the guidance of a Black Belt or Master Black Belt. The ideal candidate is one who has a strong analytical aptitude, effective communication ability and leadership attributes. Participants to this course can be developed into Black Belt level expertise.
Course Customizations
This Six Sigma Green Belt Course is customized for Aera Energy. In some modules, actual data from Aera processes are used to demonstrate the application of the tools and principles taught in the course.
Software
This course is taught using the statistical software SPC XL. All students must have this software installed on their computer prior to the start of the course.
Topics Discussed
- Overview of Lean Six Sigma
- Define and Organize Your Project
- Team Building and Project Management
- Change Management
- Basic Statistics and Graphs
- Measurement System Analysis
- Variance Reduction
- Probability & Distributions
- Sample Size & Confidence Intervals
- Hypothesis Testing
- Regression Analysis
- Control Charts
- Control Plan
- Project Close Out