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A1258608668Zixyp

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Coffee. beans. Sealed. coffee. Moisture content. Example. 1-20. Measure. Concrete the problem: ... Extracted coffee. Caffeine% raw coffee. Stuffed-up. filter ... – PowerPoint PPT presentation

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Title: A1258608668Zixyp


1
Six Sigma
6s
2
Dilbert
3
Introduction
6? new world
s is the symbol for the standard deviation. 6s
is equivalent with 3.4 defects per million
opportunities.
  • Hooving 30 m2 on 6s -level means only 1 cm2
    missed.
  • 1/3.4 million part of the day equals 0.29 second
  • 1/3.4 million part of the equator of the earth
    equals about 140 meter.

4
Statistical background
T
o
l
e
r
a
n
c

e
U
S
L
L
S
L

/
-

3
s
1
3
5
0
1
3
5
0
p
p
m
p
p
m
0
.
0
0
1
0
.
0
0
1
p
p
m
p
p
m
N
o
m
i
n
a
l

m

/
-

6
s
5
Statistical background
T
o
l
e
r
a
n
c

e
U
S
L
L
S
L
1
.
5
s
3
.
4
6
6
8
0
3
p
p
m
p
p
m
0

p
p
m
3
.
4
p
p
m
m

/
-

6
s
6
What is Six Sigma?
  • Simple
  • Eliminate defects
  • Eliminate the opportunity to have defects
  • Complex
  • Vision
  • Metric (Standard measuring method)
  • Benchmark
  • Philosofy
  • Method
  • Tool for
  • Customer satisfaction
  • Breakthrough improvements
  • Continuous improvement
  • Employee involvement
  • Agressive goals

7
Six Sigma is everywhere
Service
Design
Management
Purchase
Six Sigma Methods
Administration
Production
IT
Quality Depart.
HRM
M S
8
Uniform standard
Sigma-metric
Current standard
World class
9
Financially interesting
Benefits of 6s approach w.r.t. financials
10
Why improvement?
Process step
Client
Inspection
Input
good products
The hidden factory
11
Six Sigma
Companies implementing Six Sigma
  • Motorola (1987)
  • Texas Intruments en DEC (1988)
  • IBM (1989)
  • AlliedSignal en Kodak (1994)
  • General Electric (1995)
  • Whirlpool, Bombardier en Polaroid (1996)
  • Sony, Citibank (1997)
  • Paccar-DAF Trucks, Black Decker (1998)
  • Perlos, American Express (1999)
  • Ford (2000)

12
Six Sigma
A scientific and practical method to achieve
improvements in a company
  • Scientific
  • Structured approach.
  • Assuming quantitative data.
  • Practical
  • Emphasis on financial result.
  • Start with the voice of the customer.

Show me the data
Show me the money
13
Method
DMAIC
14
Method
Focus on the process
Y f(X1, X2, , Xn)
Output
Inputs
Process
Caffeine f(DCM, time to extract, number of
extracts, temperature, )
15
New way?
Approach to improve
Statistical problem
Praktical problem
Y f(X1, X2, , Xn)
Praktical solution
Statistical solution
16
Define
  • Projects may be selected according to
  • A complete list of requirements of customers.
  • A complete list of costs of poor quality.
  • A complete list of existing problems or targets.

17
Priorities
3
2
1
1.Collect data
2.Arrange the information
  • 3.Give priority
  • Financial benefits
  • Expected throughput time of the project
  • Severity of the problem

1. Requirements, 2. Costs, 3. Problems.
18
Six Sigma
Characteristics involved
Y f(X1, X2, , Xn)
Critical to Quality (External) Critical to
Quality (Internal)
  • Influence factors
  • Process parameters
  • Disturbances
  • Noise variables

19
Example
Coffee beans
Roast
Cool
Grind
Moisture content
Pack
Sealed coffee
20
Measure
Measure
  • Concrete the problem
  • Establish how to measure in the process
  • Investigate the demands (USL, LSL)
  • Evaluate the measurement method.

21
Measure
USL
4.5
4.0
Moisture
? ? ? ? ? ? ? ? ? ? ? ? ?
22
Analyse
Analyse
  • Study the current performance of the process
  • Determine the kind of problem
  • Identify the influence factors.

23
Analyse
To run experiments one needs a process which is
in statistical control.
SPC
DoE
24
Control chart, Cp, Cpk
Process Capability study
Identify Xs
Identify Xs
Multi-vari, Trendgraph
FMEA, Control chart
Select Xs
Select Xs
FMEA, Data
Testing- theory
Improvements
Experiment
Improve
Assure, Control loop
Control
25
Analyse
26
Analyse
27
Analyse
28
Three types of influence factors
Caffeine content of Extracted coffee
Caffeine raw coffee
Stuffed-up filter
Time to extract
Processparameter
Noise variable
Disturbance
May be used to control.
Undesirable sources of variation.
Outliers, incidents
29
Improve
Improve
  • Run a statistical experiment
  • Determine which influence factors are really
    important
  • Model the relationship with the CTQ.

30
Improve
Moisture 16.57 0.023?B 0.025?G
0.0003?B?G
31
Control
Control
  • Implement improvements
  • Use the relationship to define an optimal
    process
  • Design a system to assure the improvements.

32
Control
Before
s 0.19
33
Organisation
34
Persons
Champion
  • Belongs to management
  • Selects projects
  • Gives priority
  • Solves bottlenecks
  • Is willing to change
  • Has social skills
  • 1 day training
  • Is responsible for the BB project w.r.t. the
    organisation

35
Persons
Black Belt
  • Belongs to the middle management
  • Is well-educated
  • Project is related to daily activities
  • May prioritise his work
  • Enough motivation
  • Willing to change
  • Has good social skills

Improvement potential 50 000
36
BB training
Define
Throughput time project
4 months (full time)
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