Significance
Yellow
Belts are individuals that typically work on a multitude of tasks
in a Six Sigma Support role.
They actively
participate in projects by assisting with data collection, problem
solving tasks, tool application and
reporting functions.
But most importantly,
Yellow Belts extend the reach of Six Sigma inside an organization.
Successful
Six Sigma deployments have one thing in common - widespread support
from all levels of the organization.
But with shrinking budgets and geographically dispersed work forces,
many companies are struggling
to find the time, money and instructors to train employees in
basic Six Sigma concepts.
This Yellow
Belt program is a quick and effective way to deliver detailed
Six Sigma training to a critical mass of
employees without creating additional demands on your instructors
and project leaders.
Description
This
Yellow Belt Program delivers a thorough introduction to Six Sigma
team members to the basic vernacular functions and activities
they will experience when working on Six Sigma projects in the
organization.
The Training provides Yellow Belts with the education they need
to interact with Green Belts and Black Belts and to assist with
project work as needed.
The material provides a comprehensive overview of Six Sigma concepts,
the DMAIC methodology and analytical tools
Duration
5
days
Course Includes Comprehensive course Material
Who
Should Attend?
Team
member of Six Sigma project teams
What
will the participants get at the end of the program?
On
completion of this course participants will be able to:
Understand what Six Sigma is, the DMAIC methodology and key organizational
roles
Identify the most significant input variables affecting the output
of a process
Apply basic statistical analysis to determine the relationship
between key inputs and process outputs
Filter and narrow down the list of possible variables that may
be negatively affecting the output of a process
Effectively participate in the identification of a problem solution
Help implement systems to ensure improvements are maintained in
the long-term
Certification
Requirements
65%
average grade on one exams at the end of the course.
Course
Methodology
M
This program combines lectures with practical experiential learning
exercises to maximize comprehension.
Course
Outline
Six
Sigma Overview
Project Definition
Introduction
to Basic Statistics
Introduction
to Minitab
Process Mapping
Measurement
Systems Analysis
Graphical Methods
Failure Mode
Effects Analysis
Introduction
to Hypothesis Testing
Introduction
to Design of Experiments (DOE)
Introduction
to Control Methods
Introduction
to Statistical Process
Control (Variable
SPC)
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