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Six Sigma Green Belt Training
"Probably the most informative and
useful classes I've ever had the pleasure of participating in. Before the
classes all the charts were just charts. Now I see practical uses for them and
can use those to troubleshoot problems on the machine before it becomes a major
issue. I use this knowledge on a day to day basis."
- A NEW APS SIX-SIGMA GREEN BELT WORKSHOP GRADUATE
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this 40-Hour workshop, participants are introduced to the Six Sigma
business methodology and given a hands-on opportunity to use the
statistical tools required to successfully participate in a Six Sigma
event. The workshop is designed around a process simulation to help
learn the Define, Measure, Analyze, Improve, and Control methodology. |
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New Low Price |
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The 40-hour Green Belt Workshop can be
held at your company site as low as
$5995
Plus expenses |
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Call us for more
information
(610) 987-4050 |
Statistical
tools include process flowcharting, SOPs, response and variables diagrams,
Input-Process-Output (IPO) process, histograms, scatter diagrams, pareto
diagrams, control charts, run charts, design of experiments, measurement
systems, and FMEAs. All activities are performed in a team based
environment. Teams will also get the opportunity to practice their
presentation skills. Statistical software applications are recommended
throughout the workshop.
40-Hour Course Outline
Section
One: Introduction
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Objectives
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Green
belt / Black belt process
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What
is six sigma?
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Group
definition
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Input-Process-Output
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Normal
distribution
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Cost
of Poor Quality (COPQ)
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Variation
is the enemy
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Summary
of quality tools
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Discuss
team activities and reports
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Team
activity
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Assign
team leader and data recorder
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Perform
catapult activity #1
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Record
data in check sheet
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Teams
report out
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Section
Two: Process Flow
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Lecture:
purpose, benefits, symbols, development, interpret, SOPs
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Class
exercise: Start to develop flowchart for activity #1, demonstrate software
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Team
activity
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Finish
documenting process flow for catapult activity # 1 with SOPs
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Teams
report out
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Section
Three: Cause and Effect
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Lecture:
purpose, benefits, effect vs. response, causes vs. inputs or variables,
construct, CNX, relationship to other tools
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Class
exercise: Start to develop diagram for catapult activity #1 with CNX
identification
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Team
activity
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Finish
documenting C&E diagram for catapult activity
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Assign
CNX to all effects
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Brainstorm
improvements to catapult activity (teams must prioritize improvements
using action matrix) all improvements must be derived from supporting
data.
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Make
changes to catapult activity and setup (15 min limit)
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Update
or redo process flow diagram with SOPs
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Perform
catapult activity, record data on check sheet, run chart with histogram.
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Display
process flow and SOPs at activity location.
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Teams
report out
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Teams
visit and review other team’s process and documentation
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Section
Four: Histogram
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Lecture:
purpose, benefits, construct, normal distribution, abnormal distribution,
variation, introduce sigma and control limits, statistical characteristics,
relationship to other tools
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Class
activity: Develop a histogram with predetermined data, demonstrate software
(KISS SPC, SQCpack)
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Team
activity
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Teams
agree to one improvement and implement
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Perform
catapult activity
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Plot
data from catapult activity
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Report
out
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Add
normal distribution curve and discuss
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Identify
point of inflection, UCL, LCL
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Discuss
relationship to specification
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Section
Five: Pareto Diagram
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Lecture:
purpose, benefits, construct, various information profiles
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Class
activity: develop charts with predetermined data (chart 1 by faults, chart 2
by days, demonstrate software
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Team
activity
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Perform
catapult activity (make no changes, 50 data points) with defined
specs (+2, -1) (+/- 1.5 left to right) and record # of OOS long, short,
left, and right
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Construct
a pareto chart
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Report
out
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Plot
histogram (plot on same graph as original) and discuss central tendency
and distribution curve
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Section
6: Run Chart
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Lecture:
purpose, benefits, construct, interpret, trends, adding a histogram, compare
to SPC chart, relationship to other tools
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Class
activity: interpret various run charts
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Team
activity
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Teams
agree to one improvement and implement
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Add
new operator to team, conduct training
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Perform
catapult activity
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Plot
data from 2 catapult activities (50 data points) add operator names to
charts and plot average
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Plot
data from previous catapult activity and compare.
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Plot
histogram
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Report
out
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Teams
visit and review other team’s process and documentation. Discuss
importance of sharing best practices, lessons learned, success stories,
reacting to a single data point
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Section
7: Scatter Diagram
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Lecture:
purpose, benefits, correlation, construct, interpret, various views
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Class
activity: interpret various scatter diagrams
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Team
activity
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Isolate
Variation (do not rotate positions)
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Perform
catapult activity (10 launches for each hold time of 0,2,4,6,8 seconds,
record data on check sheet)
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Plot
data on 2 different diagrams (Distance vs. hold time and Range vs. hold
time)
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Report
out
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Have
teams run a several mini experiments on their own.
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Section
Eight: Mean, Median, Standard Deviation
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Lecture:
Mean, median, standard deviation, formulas
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Class
activity: practice calculating each
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Team
activity
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Calculate
mean, median, and standard deviation for catapult activities
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Construct
histogram / normal distribution curve with mean, median, and standard
deviation
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Report
out
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Section
Nine: Process Capability
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Lecture:
sigma, Cp, Cpk, relationship, formulas, relationship to other tools
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Class
activity: walk through calculation for catapult activities (demonstrate
software)
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Team
activity
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Teams
agree to one improvement and implement
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Perform
catapult activity
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Plot
data from catapult activity (50 data points) add operator names to
charts and plot average
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Calculate
sigma, Cp, and Cpk for last run
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Compare
data from previous runs, compare to other teams, discuss what happens it
spec is adjusted and what it takes to achieve Cp of 1and 2 and Cpk of
1.33 and 1.67
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Section
Ten: Measure System Analysis (MSA)
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Lecture:
gages, gage R&R study
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Class
activity: compare predefined gage R&R data
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Team
activity:
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Perform
simple gage R&R
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Report
out
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Section
Eleven: FMEA (some customers request to skip this section to allocate more
time on the other topics)
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Lecture:
overview, Process FMEA, Design FMEA
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Software
demonstration
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Class
activity: Start a PFMEA on the Catapult process
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Section
Twelve: Control Chart-Shewhart Analysis
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Lecture:
Six principles, types of charts, relationship to other tools, construct,
formulas, OOC conditions
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Class
activity: Construct Xbar-R chart, demonstrate software
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Team
activity
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Teams
agree to one improvement and implement
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Perform
catapult activity
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Record
data on SPC chart
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Calculate
Xbar, average Xbar, Range, average range, UCL and LCL
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Plot
data on chart and interpret
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Calculate
sigma, Cp, and Cpk (compare to previous runs)
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Report
out
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Final
Activity
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Each
team launches 25 times.
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Use
tape ring as GO-NO GO spec
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Time
limit in place |
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For
more information on six sigma or other training programs contact us at info@aps-online.net
or Call Greg Pancerev at (610) 987-4054
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