LEAN/SIX SIGMA SIX SIGMA คืออะไร? เราควรจะเข้าใจเกี่ยวกับหลักการพื้นฐานของ SIX SIGMA TRAINING/WORKSHOP – 14 JUNE 2014 Facilitators Sirichai Sukhumanant Preecha Powanusorn Ruttawut Roschuen Jaruwan Liwsrisakul
LEAN/SIX SIGMA
SIX SIGMA ? SIX SIGMA TRAINING/WORKSHOP 14 JUNE 2014
Facilitators
Sirichai Sukhumanant
Preecha Powanusorn
Ruttawut Roschuen
Jaruwan Liwsrisakul
Synergy
NPD
Cycle Time
Warranty
waste
Speed Reliability Productivity
!
Delighters
Must Be
Delight
Neutral
Dissatisfaction
Fulfilled Absent
Resigned to Reality
Taken for
Granted
?
Six Sigma
()
DFSS
()
Features
Deficiencies
0
(Client) (Customer)
Grade
Indifference
1.
2.
2.1 Breakthrough
2.2 Kaizen
3. Six SIGMA Breakthrough - Define
- Measure
- Analyze
- Improve
- Control
FMEA MEASURE
2
INNOVATE &
IMPROVE
CONTROL
MEASURE
ANALYZE
5 1
2
3
4
DEFINE
(VARIATION)
(Variation) 2
Common Causes (
) (Chronic)
Special Causes
(Sporadic)
(Short-term)
(Long-term) (Standardization)
Special
Common
6 x
()
()
x x
1
)( 2
n
XX
SIGMA SIGMA (Uniformity)
6
LSL USL T= X
8
12
Cp
1.00
3
1.33 4
2.00 6
6 (3.4 ppm)
SIX SIGMA
+1 +2 +3 +4 +5 +6 -1 -2 -3 -4 -5 -6
USL LSL
SIXMA DPMO
2
3
4
5
6
308,537
66,807
6,210
233
3.4 Six Sigma
Performance
SIX SIGMA Six Sigma
1 : (Focus on the customer)
Six Sigma
2 : (Data and Fact-Driven Management)
Six Sigma
3 : (Process focused management)
Six Sigma (ie. Where the action is)
4 : (Proactive management)
Six Sigma ?
5 : (Boundary less collaboration)
Six Sigma supply chain process
6 : (Drive for perfection)
Six Sigma (Break-through)
METRIC
First time yield
Final yield
(DPPM) rework
Throughput yield
Rolled throughput yield
DPMO
Z score
Cp , Cpk
Metric Metric Six Sigma
( )
Baseline
Benchmark
Time
dpmo
Baseline : Entitlement : Benchmark :
Entitlement
6
(2)
&
WHAT
WHERE ( )
WHEN
HOW MUCH
HOW DO I KNOW
WHAT is wrong
WHERE it happened
WHEN it occurred
To WHAT EXTENT and
I KNOW THAT BECAUSE
6 Sigma
?
3
9/9
1
10
/91
10
/91
11
/91
12
/91
1/9
2
2/9
2
3/9
2
4/9
2
5/9
2
6/9
2
7/9
2
8/9
2
9/9
2
10
/92
11
/92
12
/92
1/9
3
2/9
3
3/9
3
4/9
3
5/9
3
6/9
3
7/9
3
20:00
22:00
24:00
26:00
28:00
30:00
32:00
9/9
1
10
/91
10
/91
11
/91
12
/91
1/9
2
2/9
2
3/9
2
4/9
2
5/9
2
6/9
2
7/9
2
8/9
2
9/9
2
10
/92
11
/92
12
/92
1/9
3
2/9
3
3/9
3
4/9
3
5/9
3
6/9
3
7/9
3
9/9
1
10
/91
10
/91
11
/91
12
/91
1/9
2
2/9
2
3/9
2
4/9
2
5/9
2
6/9
2
7/9
2
8/9
2
9/9
2
10
/92
11
/92
12
/92
1/9
3
2/9
3
3/9
3
4/9
3
5/9
3
6/9
3
7/9
3
20:00
22:00
24:00
26:00
28:00
30:00
32:00
20:0
22:0
24:0
26:0
28:0
30:0
32:0
?
1.
2.
3.
VS
9/9
1
10
/91
10
/91
11
/91
12
/91
1/9
2
2/9
2
3/9
2
4/9
2
5/9
2
6/9
2
7/9
2
8/9
2
9/9
2
10
/92
11
/92
12
/92
1/9
3
2/9
3
3/9
3
4/9
3
5/9
3
6/9
3
7/9
3
20:00
22:00
24:00
26:00
28:00
30:00
32:00
?
40
A 40 Deliveries
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5 B 40 Deliveries
Days from
Target
:
?
=supplier A
=supplier B
Time Plot of Suppliers A and B Late Deliveries (40 weekly deliveries each)
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39
?
: :
?
1.
2.
2.1 5G
Genba = ()
Genbutsu = ()
Genjitsu =
Genri =
Gensoku =
2.1 4
-
-
-
-
(Potential cause) (Root cause/critical cause)
()
()
Graph
Histogram
Scatter plot
2 Sample t-test
ANOVA
Regression
Contingency table
Yes
No
JURAN
(Human Control)
(Non Human Control)
(Self Control)
(Management Control)
(timing) (Stage)
100%
()
SPC
POKA-YOKE
YOKE () (Proof)
POKA ()
POKA-YOKE (Mistake-proofing) (Foolproof)
POKA-YOKE : - -
-
-
NON TECHNICAL MISTAKE PROOFING
COLOR CODING OF CHANGE PARTS WUPPERTAL
Before 4 different types of parts needed for
the conveyor belt of a packaging line
80 parts per belt
all the same color but different in shape
one wrong part could result in deformed
tampons and or missing tampons
After through color coding of the different
parts, misplacments are eleminated
NON TECHNICAL MISTAKE PROOFING
EXAMPLE: UPGRADE WORK INSTRUCTIONS
37
BEFORE AFTER
Simplified & Intuitive Instructions Strengthened Correct Operations
Also Improved Training Delivery Effectiveness!
NON TECHNICAL MISTAKE PROOFING
EXAMPLE: VISUAL AID & CENTER LINES
38
What is missing? Normal pressure range
Normal speed of pump range