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Course Outline
Enrol
$1500.00 USD
(Classroom Training)
$799.00 USD
(Online Training Promotion)
Code: 7953
50 Hours Course
Course Material Included: Yes
Who Needs to Attend
Members of an organization that will lead process improvement initiatives.
Prerequisites
Basic understanding of Microsoft Office software, such as Word, Excel and PowerPoint. Previous exposure to process improvement or Six Sigma philosophies is encouraged, but not required.
Six Sigma Green Belt
  • Description
  • What You Learn
  • Course Outline
  • Dates & Locations
Get the skills necessary to successfully complete Six Sigma Green Belt level projects. Learn to map out processes and identify sources of variation, and gain a basic understanding of statistics analysis. Learn how to perform experiments and analyze data to determine the most effective way to improve the process, and learn to stabilize a process.
 
Six Sigma Green Belts typically have some portion of their responsibilities tied to process improvement. Through this training, you'll gain the fundamental knowledge of Six Sigma tools and concepts that can lead to breakthrough project improvements.
 
Following the Six Sigma business methodology, you'll use problem solving and data analysis tools in a structured format. Learn ways to bring about incremental improvements and maintain a process within customer specifications that are in line with business goals.
 
Through lecture and classroom exercises, you'll work through example problems and complete assignments individually and in a group.

Six Sigma roles within an organization
Use statistical tests to improve processes
Use Minitab to run statistical tests
Define a Six Sigma project
Create charts, process maps, and control plans needed to complete a Six Sigma project

Define Phase
Voice of the customer
Project charters
Process mapping
Stakeholder identification
Initiating Six Sigma projects
Case study
 
Measure
Types and definition of measurement
Rolled throughput yield
Statistics
Probability and it's application
Confidence intervals
Variance
Data collection techniques
Visual presentation of measurements
Six Sigma and quantification
Case study
 
Analyze
Type of analysis
Pareto
Failure modes and effects analysis
Ishikawa
5 Whys
Statistical testing
Hypothesis testing
Measurement systems analysis
Case study
 
Improve
Selecting improvements
Developing improvements
Implementing improvements
Error proofing processes
Correlation and regression techniques
Analysis of variance
Design of experiments
Randomized blocks
Full factorial experiments
Case study
 
Control
Planning for control
Control charts
Managing according to process
Statistical process control
Project selection
Case study
 
Conclusion
Completing the ASQ CSSGB certification application
Creating a study plan
Test expectations
Test strategies
No classes are currently scheduled for this course. Please visit later.
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