Six Sigma is a data-driven methodology for improving business processes and products. It involves defining problems, measuring key aspects, analyzing data to find causes of defects, improving processes by addressing causes, and controlling processes to maintain improvements. Statistical tools are used throughout. The goal is to reduce variation and improve quality to meet customer requirements.
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.
…
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5. …
Continuous improvement methodology used to
improve business processes and products.
Utilisation of powerful statistical tools.
Statistical measure of process capability.
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6. D M A I C
define measure analyse improve control
Understand Measure the Analyse the Improve the Control and
what defects and data and process to monitor the
customer map process discover root remove root improvement.
requires, operation. causes of causes of
define the defects. defects.
problem and
set-up project
team.
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8. Six Sigma
Process
Measure Analyse Improve Control
Define
1 Customer requirements 2 Process flow 3 Potential
Business case
Pareto diagram
SIPOC
SMART goals
SWOT
VOC (Voice of analysis First pass yield
Process maps
the customer)
CTQ tree Tree diagram
Kano model
Affinity diagram
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9. The purpose of business is to
create and keep a customer.
Peter F. Drucker
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11. Six Sigma
Process
Define Analyse Improve Control
Measure
4 Refined project definition 5 Capable Measurement system 6 Data collection
right
oparational data collection process
measurement
definition plan capability
Gage R&R interviews
with continious data
transformation
sample
Gage R&R
discrete vs. with discrete data variation
continuous test on
using histogram normal
measurable Minitab Gage R&R for distribution
pareto
specification transactional processes
commitment of diagram process offset
normal
distribution organization control charts
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12. In God we trust,
all others bring data.
William Edwards Deming
American Statistician, 1900-1993
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14. Six Sigma
Process
Define Measure Improve Control
Analyse
7 Evaluation of potential X 8 Filtering of red X1 … X7
Regression
Screening
Learning from
Y data Chi-Square test
Anderson Darling test
Kruskal-Wallis test
Process analysis
Brainstorming Confidence interval Man-Whitney test
FMEA Benchmarking Wilcoxon test
F test
Levene‘s test
Ishikawa
ANOVA
T test
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15. The structure of a system tends
to mirror the structure of the
group producing it.
Mel Conway
April 1968, Datamation
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17. Six Sigma
Process
Define Measure Analyse Control
Improve
9 Find Major X 10 Optimize adjustment for X
solution finding
and verifying system optimization
design of experiments
DOE
solution refinement solution testing
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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
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20. Six Sigma
Process
Define Measure Analyse Improve
Control
14 Controlled process
11 Process tolerances 13 Capable process project
closing
12 Capable measurement system improved
quality
process
systems
process capability
tolerances Gage R&R suboptimal X feedback
for X values control process
buffering of Y-values; management
Y tolerance limits optimal plan
buffering of X-values; process Out of Control
work
X controll limits monitoring Action Plan MPSB
instructions OCAP
process Poka Yoke FMEA
control
management with
plan
control charts Audit
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