Purpose

To
develop the six sigma skills of improvement team members and functional
managers.
To effectively use the basic tools and techniques of six sigma within
a team environment or to provide management support for six sigma
projects. 
Objectives

On completion of this
workshop, the participant will be able to:
 Utilize the six sigma
DMAIC methodology to make improvements
 Define key input and
output variables for a process
 Measure the capability
and sigma rating of a process
 Analyze a process
by using a variety of statistical distributions and tools
 Improve process performance
by using design of experiments to optimize process parameters
 Control process performance
through ongoing use of statistical process control
 Use Minitab statistical
software to perform statistical calculations.

Duration

5
Days taught in two sessions. Session 1: 3 days; Session 2: 2 days.
There will be a two week break between the first and second session
to allow participants the opportunity to apply six sigma techniques
within their work environment. 
Audience

 Continuous improvement
team members and leaders
 Functional managers
 Technicians and technologists
 Quality personnel

Certification

 On completion of the
five day workshop, participants will be issued Green Belt Certification
Certificates by GRT.

Methodology

 Short presentations,
team exercises, discussions, Minitab software tutorial, application
of techniques within the participants’ work environment.

Instructor 
Patrick
Terrel, P.Eng. is an ASQ certified Six Sigma Black Belt with over
25 years industrial training and process improvement experience.
Patrick also developed and teaches the 20 day Six Sigma Black Belt
program for GR Technologies. 
Approximate
Schedule for Public Sessions 
Day 1

 Six sigma overview
 Defining key process
input and output variables

Day 2 
 Measuring the process
 Calculating capability
and six sigma ratings
 Using Minitab

Day 3 
 Measurement systems
analysis
 Analyzing the process
using statistical techniques

Day 4 
 Simple designed experiments
 Improvement techniques

Day 5 
 Statistical process
control
 Design for six sigma
