Manufacturing Green Belt
Overview
Green Belts are employees
throughout the organization who
execute Six Sigma as part of
their overall jobs.
They have less Six Sigma
responsibility and their
energies are focused on projects
that tie directly to their
daytoday work.
Green Belts have two
primary tasks: to help deploy
the success of Six Sigma
techniques and to lead
smallscale improvement projects
within their respective areas.
Green Belts can do much
of the legwork in gathering data
and executing experiments in
support of a Black Belt project.
As they become more
proficient, they can increase
the Black Belt’s effectiveness.
Course Goal
The Six Sigma Qualtec Green Belt
course is designed to enhance
technical problemsolving
skills. Instruction is
application focused, therefore
requiring all participants to
successfully complete a project
while completing the classroom
portion of the training. The
focus of the instruction is
knowledge transfer demonstrated
by realtime application of
technical problemsolving
skills.
Class size is typically
10 to 20 people.
Course Outline
Session 1  Measure (4 days)
A.
Introduction to the Six Sigma
Methodology
B.
Process Mapping
C.
XY Matrix
D.
Process Failure Mode and Effects
Analysis
E.
Basic Statistics
F.
Confidence Intervals
G.
Graphical Methods:
Measure
H.
Capability Assessment I
I.
Capability Assessment II
J.
Measurement System Analysis
(Attribute)
K.
Measurement System Analysis
(Variable)
L.
Deliverables
Session 2  Analyze (4
days)
A.
MultiVariable Studies
B.
Graphical Data Analysis
C.
Correlation and Regression
D.
Introduction to Hypothesis
Testing
E.
Statistical Tests of Means
F.
Statistical Tests of Variance
G.
Statistical Tests of Proportions
H.
Analysis of Variance
(ANOVA)
I.
Deliverables:
Analyze
Session 3  Improve/Control
(3 days)
A.
Introduction to Design of
Experiments
B.
2^{k} Design of
Experiments
C.
Deliverables:
Improve
D.
MistakeProofing
E.
Lean Manufacturing
F.
Introduction to Statistical
Process Control
G.
PreControls
H.
Statistical Process Control Y’s
I.
Statistical Process Control X’s
J.
Control Plans
