Overview/Description
There's one thing that doctors, mechanics, and detectives sometimes share in common--getting to the source of something that's gone wrong in a system. Things go wrong in business systems too, and to get at the source of the problem, you have to dig down deep. This course is all about making sure Six Sigma Green belts and team members dig deep enough, to where the solutions are simplest. In order to employ Six Sigma, you need information on how to use the data that's relevant to the problems in your business process. In Lesson 1 you'll explore the best methods to present and interpret the data that reflects a problem. In Lesson 2 you'll look at the skills and tools that can help you analyze the data to get at the real cause and the effects of the problem. In Lesson 3 you'll focus on the tools that can help you verify that the causes you have isolated are in actuality the problem.
Target Audience
Potential Six Sigma Green Belts and other Six Sigma team members in companies that have already made the decision to implement Six Sigma
recognize the benefits of using visual tools to present data about a defect in a business process.
match four methods used to chart the raw data associated with a defect in a business process to descriptive examples.
match business issues with appropriate data charts.
select the correct interpretations associated with different patterns of three data charts.
Cause and Effect Analysis
recognize the benefits of using root cause analysis to address problems in business processes.
identify the four steps associated with the construction and use of the fishbone diagram after a team has identified a problem and made it the "head" of the diagram.
apply the steps of Five Why analysis to determine the root cause of a hypothetical business problem.
Verifying Causes
recognize the benefits of using data to verify the root causes of problems associated with business processes.
identify accurate statements about the stratified frequency diagram.
apply the procedures for gathering and utilizing data for a stratified frequency diagram in a workplace scenario.
designate the appropriate hypothesis to represent a process variation being tested in an hypothesis test.
match five patterns commonly seen in scatter diagrams with their interpretation.
apply the five steps correctly to construct a scatter diagram in a workplace scenario.