This document provides an overview of Six Sigma, which is a data-driven methodology for improving business processes and products. It involves five phases - Define, Measure, Analyze, Improve, and Control - and utilizes statistical tools to measure defects and understand their root causes. The goal is to continuously improve processes by removing defects based on data analysis, and then controlling processes to maintain improvements.

1. Six Sigma
Six Sigma
define / measure / analyse / improve / control

2. 2
Six Sigma
Process
Define
Measure
Analyse
Improve Control
Overview Tools
Glossary
Examples

3. 3
overview
Six Sigma can be described as …

4. 4
A business philosophy & strategy adopted by
companies who are recognized leaders in
world class quality.
A Fact based decision making. An integrated
part of a management system.
A Customer focused determination (Customer
“critical-to-quality” factors) where we should
focus our quality improvements.
…

5. 5
…
Continuous improvement methodology used to
improve business processes and products.
Utilisation of powerful statistical tools.
Statistical measure of process capability.

6. 6
Understand
what
customer
requires,
define the
problem and
set-up project
team.
Measure the
defects and
map process
operation.
Analyse the
data and
discover root
causes of
defects.
Improve the
process to
remove root
causes of
defects.
C
control
Control and
monitor the
improvement.
I
improve
A
analyse
M
measuremeasure
D
define

7. 7
define
define

8. 8
Six Sigma
Process
Define Measure Analyse Improve Control
SIPOC
1 Customer requirements 2 Process flow 3 Potential
VOC (Voice of
the customer)
Kano model
Affinity diagram
CTQ tree
SWOT
analysis
Pareto diagram
First pass yield
Tree diagram
Process maps
Business case
SMART goals

9. 9
The purpose of business is to
create and keep a customer.
Peter F. Drucker

10. 10
measure
measure

11. 11
Six Sigma
Process
Define
Measure Analyse Improve Control
right
measurement
4 Refined project definition 5 Capable Measurement system 6 Data collection
discrete vs.
continuous
measurable
specification
normal
distribution
using
Minitab
commitment of
organization
Gage R&R for
transactional processes
Gage R&R
with discrete data
Gage R&R
with continious data
oparational
definition
interviews
data collection
plan
variation
sample
pareto
diagram
histogram
control charts
process offset
test on
normal
distribution
transformation
process
capability

12. 12
In God we trust,
all others bring data.
William Edwards Deming
American Statistician, 1900-1993

13. 13
analyse
analyse

14. 14
Six Sigma
Process
Define Measure
Analyse Improve Control
Learning from
Y data
7 Evaluation of potential X 8 Filtering of red X1 … X7
Brainstorming
FMEA
Ishikawa
Benchmarking
Process analysis
F test
Confidence interval
Anderson Darling test
Screening
T test
ANOVA
Levene‘s test
Wilcoxon test
Man-Whitney test
Kruskal-Wallis test
Chi-Square test
Regression

15. 15
The structure of a system tends
to mirror the structure of the
group producing it.
Mel Conway
April 1968, Datamation

16. 16
improve
improve

17. 17
Six Sigma
Process
Define Measure Analyse
Improve Control
solution finding
and verifying
9 Find Major X 10 Optimize adjustment for X
solution refinement
solution testing
system optimization
design of experiments
DOE

18. 18
Nothing is more difficult to carry
out, nor more doubtful of
success, nor more dangerous to
handle than to initiate a new
order of things.
Niccolo Machiavelli

19. 19
control
control

20. 20
Six Sigma
Process
Define Measure Analyse Improve
Control
process
tolerances
11 Process tolerances
12 Capable measurement system
13 Capable process
buffering of Y-values;
Y tolerance limits
buffering of X-values;
X controll limits
Gage R&R
for X values
Poka Yoke
suboptimal X
14 Controlled process
Out of Control
Action Plan
OCAP
FMEA
Audit
quality
systems
MPSB
process
management
plan
control
plan
project
closing
process
monitoring
process
management with
control charts
optimal
work
instructions
feedback
control
improved
process
capability

21. 21
Control your own destiny or
someone else will.
Jack Welch

22. 22
Thank You
Thank You
Edmund Gröpl, www.team-kompetenz.de

23. 23
Bonus slides

24. 24
requirement topic CTQs measurement goal
customer
requirement
quality
time
cost
CTQ tree (Critical-to-Quality)

25. 25
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