L12_Nominal_Taguchi_1.xls
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Duration
start date 27-Sep-06
Date today26-Mar-13
L12 :- upto 11 control factors with 2-Levels eachpassword info for P. R. Apte: L12**** ==>
This Excel Sheet is created by Dr. P. R. Apte, IIT Bombay, Powai, Mumb
e-mail: [email protected] , web-page : http://www.ee.iitb.ac.in
Last Modified on 2-Mar-2007
Title of the problem
Write an Introduction to the problem
Team members
Optimization of the painting pro
(1) Water vapor permeability to
(2) Particle size / thickness to
(3) Scrub resistance to be max
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YOU MAY OVER-WRITE ON
THE 'orange' TEXT
IN ALL THE SHEETS
ai-400 076, India
/~apte
cess
be smaller
e nominal
imized
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USERNAME
START DATE
27-Dec-2005 TYPE
THE DATE HERE
STEP 1: Identify Main Function, failure mode and side effects
STEP 2: Identify Noise factors, testing conditions (to capture the
effects of noise)
STEP 3: Identify Quality Characteristics and Objective Function
STEP 4: Identify Control Factors and their Levels
STEP 5: Identify Orthogonal Array (degrees of freedom for error)
Last Modified on 15-Feb-2007
This Excel Sheet is created by Dr. P. R. Apte, IIT Bombay, Powai, Mumbai-400
e-mail: [email protected] , web-page : http://www.ee.iitb.ac.in/~apte
Reference : "Quality Engineering using Robust Design" by
M.S. Phadke, Prentice Hall 1989, Chapter 4
Control Factors are (1) agitator r
etc
Their levels are taken as far apa
Painting Process
Various processes - of mixing, a
NoIsY parameters
The objective of the Taguchi ex
(1) keep thickness nominal, (2) i
"Water vapor permeability".
L12 array is chosen
upto 11 control factors with 2
Interaction among the control
However, interactions can not
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TODAY
26-Mar-13
076, India
pm, (2) type of agitator and (3) type of buffer etc
rt as possible
pplying and drying the paint - have a lot many
erimentation is to
ncrease "Scrub resistance" and (3) reduce the
levels each are allowed.
factors is evenly distributed,
be studied,
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TESTS Smaller-the-better Nominal-the-Best Larger-the-Better Mean
Thickness YES
Type YES or NOType Quality
Characteristic
name/identifier
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Repetitions in each row of expt
(due to NoIsE Factor
combinations)
no. of times the
"confirmation experiment"
is repeated
9 5
Type the number of
times the 'BEST"
experiment (with 'best'
CF levels) is repeated
You may overtype the
number of measurements for
each experiment.
(due to NoIsE Factor
combinations)
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CONTROL FACTORS AND THEIR LEVELS
Control Factor
name
Level 1
name
Level 2
name
Agitator-rpm A1 A2
B B1 B2
C C1 C2D D1 D2
E E1 E2
F F1 F2
Granules G1 G2
H H1 H2
- - -
J J1 J2
K K1 K2
"empty", "-" are reserved
for indicatiing 'blank' columns
NoIsE FACTORS \ LEVELS
NoIsE Level 1 NoIsE Level 2
U NoIsE FACTOR 1 U1 U2
V NoIsE FACTOR 2 V1 V2
W NoIsE FACTOR 3 W1 W2
X NoIsE FACTOR 4 X1 X2
Go to a cell, delete contents (using 'delete' key) and
Control Factor names (necessary) & Level names (o
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Fill in the factor names and level names
NoIsE Level 3NUMBER OF
LEVELS
U3 3 Type 2 or 3V3 3
OKAY
WHICH OUTER-
ARRAY IS
REQUIRED = L9
rite the
tional)
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A B C D E F G H I J K
1 1 1 1 1 1 1 1 1 1 1 12 1 1 1 1 1 2 2 2 2 2 2
3 1 1 2 2 2 1 1 1 2 2 2
4 1 2 1 2 2 1 2 2 1 1 2
5 1 2 2 1 2 2 1 2 1 2 1
6 1 2 2 2 1 2 2 1 2 1 1
7 2 1 2 2 1 1 2 2 1 2 1
8 2 1 2 1 2 2 2 1 1 1 2
9 2 1 1 2 2 2 1 2 2 1 1
10 2 2 2 1 1 1 1 2 2 1 2
11 2 2 1 2 1 2 1 1 1 2 2
12 2 2 1 1 2 1 2 1 2 2 1
12
6
L12 Array
Total number of expts =
REPETITIONS FOR EACH LEVEL =
Expt
No.
Control Factors
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L9 Array is always the
same
and
Hence no need to
change this - EVER
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Experimenter's Log
NUMBER OF
MEASUREMENTS9
Agitator-
rpm
B C D E F Granules H - J
1 A1 B1 C1 D1 E1 F1 G1 H1 - J1
2 A1 B1 C1 D1 E1 F2 G2 H2 - J2
3 A1 B1 C2 D2 E2 F1 G1 H1 - J2
4 A1 B2 C1 D2 E2 F1 G2 H2 - J1
5 A1 B2 C2 D1 E2 F2 G1 H2 - J2
6 A1 B2 C2 D2 E1 F2 G2 H1 - J1
7 A2 B1 C2 D2 E1 F1 G2 H2 - J2
8 A2 B1 C2 D1 E2 F2 G2 H1 - J1
9 A2 B1 C1 D2 E2 F2 G1 H2 - J1
10 A2 B2 C2 D1 E1 F1 G1 H2 - J111 A2 B2 C1 D2 E1 F2 G1 H1 - J2
12 A2 B2 C1 D1 E2 F1 G2 H1 - J2
6
CHOSEN
FACTORIAL OR
ORTHOGONAL
ARRAY L9 L9
Expt. No.
Repetition number for each level =
No need to feed anything h
All 'text' is linked to entries in the shee
Factors & Levels"
CONTROL FACTOR ASSIGNEMNT TO 11 COLUMNS
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F2
F3
F4
F6
F8
F12
F16
L4
L8
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L9
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CHOSEN FACTORIAL
OR ORTHOGONAL
ARRAY==>L9
REPETITIONS
NoIsE FACTOR names
1 2 3 4 5 6 7 8 9
U NoIsE FACTOR 1 U1 U1 U1 U2 U2 U2 U3 U3 U3
V NoIsE FACTOR 2 V1 V2 V3 V1 V2 V3 V1 V2 V3
K
K1 8.90E-01 8.90E-01 8.90E-01 8.91E-01 8.91E-01 8.91E-01 8.91E-01 8.91E-01 8.92E-01
K2 4.00E-01 4.01E-01 4.01E-01 4.02E-01 4.02E-01 4.03E-01 4.03E-01 4.04E-01 4.04E-01
K2 8.90E-01 8.95E-01 9.00E-01 9.05E-01 9.10E-01 9.15E-01 9.20E-01 9.25E-01 9.30E-01
K2 5.00E-01 5.01E-01 5.02E-01 5.03E-01 5.04E-01 5.05E-01 5.06E-01 5.07E-01 5.08E-01
K1 9.10E-01 9.15E-01 8.70E-01 8.75E-01 8.80E-01 8.85E-01 8.90E-01 8.95E-01 9.00E-01
K1 5.00E-01 5.01E-01 5.01E-01 5.02E-01 5.02E-01 5.03E-01 5.03E-01 5.04E-01 5.04E-01
K1 8.50E-01 8.51E-01 8.51E-01 8.52E-01 8.52E-01 8.53E-01 8.53E-01 8.54E-01 8.54E-01
K2 3.00E-01 3.05E-01 3.10E-01 3.15E-01 3.20E-01 3.25E-01 3.30E-01 3.35E-01 3.40E-01
K1 8.50E-01 8.55E-01 8.60E-01 8.65E-01 8.70E-01 8.75E-01 8.80E-01 8.85E-01 8.90E-01
K2 4.50E-01 4.51E-01 4.51E-01 4.52E-01 4.52E-01 4.53E-01 4.53E-01 4.54E-01 4.54E-01K2 8.75E-01 8.75E-01 8.75E-01 8.76E-01 8.76E-01 8.76E-01 8.76E-01 8.76E-01 8.77E-01
K1 8.70E-01 8.75E-01 8.80E-01 8.85E-01 8.90E-01 8.95E-01 9.00E-01 9.05E-01 9.10E-01
meas
# 6
re.
"Control-NoIsE
NoIsE Factor combinations used as repetitions for each (ro
L4 / F4 F6 F8 / L8 L9
F16 F16
meas
# 7
meas
# 8
meas
# 9
meas
# 1
meas
# 2
meas
# 3
meas
# 4
meas
# 5
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EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 2
B
C
D
EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 2 3
B
C
D
EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 1 2 2
B 1 2 1 2
C
D
EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 1 1 2 2 2
B 1 2 3 1 2 3
C
D
EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 1 1 1 2 2 2 2
B 1 1 2 2 1 1 2 2
C 1 2 1 2 1 2 1 2
D
EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 1 1 1 1 1 2 2 2
B 1 1 1 2 2 2 1 1 1
C 1 2 3 1 2 3 1 2 3
D
EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 1 1 1 1 1 1 1 2
B 1 1 1 1 2 2 2 2 1
C 1 1 2 2 1 1 2 2 1
D 1 2 1 2 1 2 1 2 1
EXPT NO. 1 2 3 4 5 6 7 8 9A 1 1 2 2
B 1 2 1 2
C 1 2 2 1
D
EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 1 1 1 2 2 2 2
B 1 1 2 2 1 1 2 2
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C 1 2 1 2 1 2 1 2
D 1 2 1 2 2 1 2 1
EXPT NO. 1 2 3 4 5 6 7 8 9
A 1 1 1 2 2 2 3 3 3
B 1 2 3 1 2 3 1 2 3
C 1 2 3 2 3 1 3 1 2D 1 2 3 3 1 2 2 3 1
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of) experiment
L12
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10 11 12 13 14 15 16
10 11 12 13 14 15 16
10 11 12 13 14 15 16
10 11 12 13 14 15 16
10 11 12 13 14 15 16
10 11 12 13 14 15 16
2 2 2
2 2 2
1 2 3
10 11 12 13 14 15 16
2 2 2 2 2 2 2
1 1 1 2 2 2 2
1 2 2 1 1 2 2
2 1 2 1 2 1 2
10 11 12 13 14 15 16
10 11 12 13 14 15 16
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10 11 12 13 14 15 16
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Expt No. 1 2 3 4 5 6 7 8 9 10
epet t ons or
each expt
1 8.9E-01 4.0E-01 8.9E-01 5.0E-01 8.6E-01 5.0E-01 8.5E-01 3.0E-01 8.5E-01 4.5E-012 8.9E-01 4.0E-01 9.0E-01 5.0E-01 8.7E-01 5.0E-01 8.5E-01 3.1E-01 8.6E-01 4.5E-01
3 8.9E-01 4.0E-01 9.0E-01 5.0E-01 8.7E-01 5.0E-01 8.5E-01 3.1E-01 8.6E-01 4.5E-014 8.9E-01 4.0E-01 9.1E-01 5.0E-01 8.8E-01 5.0E-01 8.5E-01 3.2E-01 8.7E-01 4.5E-015 8.9E-01 4.0E-01 9.1E-01 5.0E-01 8.8E-01 5.0E-01 8.5E-01 3.2E-01 8.7E-01 4.5E-016 8.9E-01 4.0E-01 9.2E-01 5.1E-01 8.9E-01 5.0E-01 8.5E-01 3.3E-01 8.8E-01 4.5E-017 8.9E-01 4.0E-01 9.2E-01 5.1E-01 8.9E-01 5.0E-01 8.5E-01 3.3E-01 8.8E-01 4.5E-018 8.9E-01 4.0E-01 9.3E-01 5.1E-01 9.0E-01 5.0E-01 8.5E-01 3.4E-01 8.9E-01 4.5E-019 8.9E-01 4.0E-01 9.3E-01 5.1E-01 9.0E-01 5.0E-01 8.5E-01 3.4E-01 8.9E-01 4.5E-0110 8.9E-01 4.0E-01 9.4E-01 5.1E-01 9.1E-01 5.0E-01 8.5E-01 3.5E-01 9.0E-01 4.5E-0111 8.9E-01 4.1E-01 9.4E-01 5.1E-01 9.1E-01 5.0E-01 8.6E-01 3.5E-01 9.0E-01 4.6E-0112 8.9E-01 4.1E-01 9.5E-01 5.1E-01 9.2E-01 5.1E-01 8.6E-01 3.6E-01 9.1E-01 4.6E-01131415
16
2 NF with
2-levels each =
3 NF with
2-levels each =
1 NF with 2-levels
1 NF with 3-levels=
2-4 NF with
3-levels each =
How to use NoIsE Factors for
generating
repetitions for each expt
You can have upt
measurements per
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11 12
8.8E-01 8.7E-01
8.8E-01 8.8E-01
8.8E-01 8.8E-018.8E-01 8.9E-01
8.8E-01 8.9E-01
8.8E-01 9.0E-01
8.8E-01 9.0E-01
8.8E-01 9.1E-01
8.8E-01 9.1E-01
8.8E-01 9.2E-01
8.8E-01 9.2E-01
8.8E-01 9.3E-01
meas.
4
4
6
9
Blanks will not affect the
results of mean, Variance and
SN Ratio
Feed the data in these
rows and columns
You can have upto 16
measurements per expt
factorial
L4 Orthogonal
Array
factorial
L9 Orthogonal
Array
16
expt
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Expt No. 1 2 3 4 5 6 7
epet t ons or
each expt
1 8.90E-01 4.00E-01 8.90E-01 5.00E-01 9.10E-01 5.00E-01 8.50E-01
2 8.90E-01 4.01E-01 8.95E-01 5.01E-01 9.15E-01 5.01E-01 8.51E-013 8.90E-01 4.01E-01 9.00E-01 5.02E-01 8.70E-01 5.01E-01 8.51E-01
4 8.91E-01 4.02E-01 9.05E-01 5.03E-01 8.75E-01 5.02E-01 8.52E-01
5 8.91E-01 4.02E-01 9.10E-01 5.04E-01 8.80E-01 5.02E-01 8.52E-01
6 8.91E-01 4.03E-01 9.15E-01 5.05E-01 8.85E-01 5.03E-01 8.53E-01
7 8.91E-01 4.03E-01 9.20E-01 5.06E-01 8.90E-01 5.03E-01 8.53E-01
8 8.91E-01 4.04E-01 9.25E-01 5.07E-01 8.95E-01 5.04E-01 8.54E-01
9 8.92E-01 4.04E-01 9.30E-01 5.08E-01 9.00E-01 5.04E-01 8.54E-01
10
11
1213
14
15
16
Mean 8.9E-01 4.0E-01 9.1E-01 5.0E-01 8.9E-01 5.0E-01 8.5E-01
VARIANCE 3.0E-07 1.9E-06 1.9E-04 7.5E-06 2.4E-04 1.9E-06 1.9E-06
S/N Ratio of Qual
Char64.22 49.35 36.45 45.30 35.27 51.28 55.88
S/N Ratio of Mean -1.00 -7.92 -0.82 -5.95 -1.00 -5.99 -1.39
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8 9 10 11 12
3.00E-01 8.50E-01 4.50E-01 8.75E-01 8.70E-01
3.05E-01 8.55E-01 4.51E-01 8.75E-01 8.75E-013.10E-01 8.60E-01 4.51E-01 8.75E-01 8.80E-01
3.15E-01 8.65E-01 4.52E-01 8.76E-01 8.85E-01
3.20E-01 8.70E-01 4.52E-01 8.76E-01 8.90E-01
3.25E-01 8.75E-01 4.53E-01 8.76E-01 8.95E-01
3.30E-01 8.80E-01 4.53E-01 8.76E-01 9.00E-01
3.35E-01 8.85E-01 4.54E-01 8.76E-01 9.05E-01
3.40E-01 8.90E-01 4.54E-01 8.77E-01 9.10E-01
3.2E-01 8.7E-01 4.5E-01 8.8E-01 8.9E-01
1.9E-04 1.9E-04 1.9E-06 3.0E-07 1.9E-04
27.37 36.06 50.37 64.08 36.26
-9.90 -1.21 -6.90 -1.15 -1.01
data has been 'linked' from
the sheet:"Input measureddata" in these rows and
columns
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Main Effects
S/N Ratio of
Qual Char
Expt. No. A1 A2 B1 B2 C1 C2 D1 D21 64.22 64.22 64.22 64.22 64.22
2 49.35 49.35 49.35 49.35 49.35
3 36.45 36.45 36.45 36.45 36.45
4 45.30 45.30 45.30 45.30 45.30
5 35.27 35.27 35.27 35.27 35.27
6 51.28 51.28 51.28 51.28 51.28
7 55.88 55.88 55.88 55.88 55.88
8 27.37 27.37 27.37 27.37 27.37
9 36.06 36.06 36.06 36.06 36.06
10 50.37 50.37 50.37 50.37 50.37
11 64.08 64.08 64.08 64.08 64.08
12 36.26 36.26 36.26 36.26 36.26
Sum 281.88 270.02 269.34 282.56 295.27 256.63 262.85 289.05Factor Effects 46.98 45.00 44.89 47.09 49.21 42.77 43.81 48.17
ov mean 45.99 check= 45.99 check= 45.99 check= 45.99 check= 45.99
SUM OF SQ
DUE TO MEAN 25382.69
GRAND TOTAL
SUM OF SQ 26945.02
Total sum of
squares = 1562.33
Agitator-rpm B C D
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E1 E2 F1 F2 G1 G2 H1 H2 - - J1 J2 K1
64.22 64.22 64.22 64.22 64.22 64.22 64.22
49.35 49.35 49.35 49.35 49.35 49.35
36.45 36.45 36.45 36.45 36.45 36.45
45.30 45.30 45.30 45.30 45.30 45.30
35.27 35.27 35.27 35.27 35.27 35.27 35.27
51.28 51.28 51.28 51.28 51.28 51.28 51.28
55.88 55.88 55.88 55.88 55.88 55.88 55.88
27.37 27.37 27.37 27.37 27.37 27.37
36.06 36.06 36.06 36.06 36.06 36.06 36.06
50.37 50.37 50.37 50.37 50.37 50.37
64.08 64.08 64.08 64.08 64.08 64.08
36.26 36.26 36.26 36.26 36.26 36.26 36.26
335.19 216.71 288.48 263.42 286.45 265.45 279.67 272.23 292.12 259.78 274.61 277.29 278.9755.87 36.12 48.08 43.90 47.74 44.24 46.61 45.37 48.69 43.30 45.77 46.21 46.50
check= 45.99 check= 45.99 check= 45.99 check= 45.99 check= 45.99 check= 45.99 check=
E F Granules H - J
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K2
49.35
36.45
45.30
27.37
50.37
64.08
272.9345.49
45.99
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Main EffectsS/N Ratio of
Mean
Expt. No. A1 A2 B1 B2 C1 C2 D1 D21 -1.00 -1.00 -1.00 -1.00 -1.00
2 -7.92 -7.92 -7.92 -7.92 -7.92
3 -0.82 -0.82 -0.82 -0.82 -0.82
4 -5.95 -5.95 -5.95 -5.95 -5.95
5 -1.00 -1.00 -1.00 -1.00 -1.00
6 -5.99 -5.99 -5.99 -5.99 -5.99
7 -1.39 -1.39 -1.39 -1.39 -1.39
8 -9.90 -9.90 -9.90 -9.90 -9.90
9 -1.21 -1.21 -1.21 -1.21 -1.21
10 -6.90 -6.90 -6.90 -6.90 -6.90
11 -1.15 -1.15 -1.15 -1.15 -1.15
12 -1.01 -1.01 -1.01 -1.01 -1.01
Sum -22.68 -21.56 -22.24 -22.00 -18.24 -25.99 -27.73 -16.51Factor Effects -3.78 -3.59 -3.71 -3.67 -3.04 -4.33 -4.62 -2.75
ov mean -3.69 check= -3.69 check= -3.69 check= -3.69 check= -3.69
SUM OF SQ
DUE TO MEAN 163.08
GRAND TOTAL
SUM OF SQ 287.86
Total sum of
squares = 124.79
Agitator-rpm B C D
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E1 E2 F1 F2 G1 G2 H1 H2 - - J1 J2 K1
-1.00 -1.00 -1.00 -1.00 -1.00 -1.00 -1.00
-7.92 -7.92 -7.92 -7.92 -7.92 -7.92
-0.82 -0.82 -0.82 -0.82 -0.82 -0.82
-5.95 -5.95 -5.95 -5.95 -5.95 -5.95
-1.00 -1.00 -1.00 -1.00 -1.00 -1.00 -1.00
-5.99 -5.99 -5.99 -5.99 -5.99 -5.99 -5.99
-1.39 -1.39 -1.39 -1.39 -1.39 -1.39 -1.39
-9.90 -9.90 -9.90 -9.90 -9.90 -9.90
-1.21 -1.21 -1.21 -1.21 -1.21 -1.21 -1.21
-6.90 -6.90 -6.90 -6.90 -6.90 -6.90
-1.15 -1.15 -1.15 -1.15 -1.15 -1.15
-1.01 -1.01 -1.01 -1.01 -1.01 -1.01 -1.01
-24.35 -19.89 -17.08 -27.16 -12.08 -32.15 -19.87 -24.37 -20.40 -23.84 -30.95 -13.29 -11.60-4.06 -3.32 -2.85 -4.53 -2.01 -5.36 -3.31 -4.06 -3.40 -3.97 -5.16 -2.22 -1.93
check= -3.69 check= -3.69 check= -3.69 check= -3.69 check= -3.69 check= -3.69 check=
- JE F Granules H
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K2
-7.92
-0.82
-5.95
-9.90
-6.90
-1.15
-32.63-5.44
-3.69
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Ov Mean 45.99 -3.69
45.99 -3.69
A1 46.97987 -3.78 45.99 -3.69
A2 45.00326 -3.59 45.99 -3.69
45.99 -3.69
B1 44.89031 -3.71 45.99 -3.69
B2 47.09283 -3.67 45.99 -3.6945.99 -3.69
C1 49.21199 -3.04 45.99 -3.69
C2 42.77115 -4.33 45.99 -3.69
45.99 -3.69
D1 43.80832 -4.62 45.99 -3.69
D2 48.17482 -2.75 45.99 -3.69
45.99 -3.69
E1 55.86523 -4.06 45.99 -3.69
E2 36.11791 -3.32 45.99 -3.69
45.99 -3.69
F1 48.08042 -2.85 45.99 -3.69
F2 43.90271 -4.53 45.99 -3.6945.99 -3.69
G1 47.74212 -2.01 45.99 -3.69
G2 44.24102 -5.36 45.99 -3.69
45.99 -3.69
H1 46.61115 -3.31 45.99 -3.69
H2 45.37198 -4.06 45.99 -3.69
45.99 -3.69
- 48.68642 -3.40 45.99 -3.69
- 43.29672 -3.97 45.99 -3.69
45.99 -3.69
J1 45.76876 -5.16 45.99 -3.69
J2 46.21437 -2.22 45.99 -3.69
45.99 -3.69
K1 46.49548 -1.93 45.99 -3.69
K2 45.48766 -5.44 45.99 -3.69
45.99 -3.69
ov mean
YOU CAN MPARTICUL
0
10
20
30
40
50
60
70
Ov
Mean
A1
A2
B1
B2
C1
C2
D1
D2
E1
E2
F1
F2
G1
G2
H1
H2 - -
J1
J2
K1
S/NRatio(smaller-the-better)(dB)
Control Factors and Their Levels
Main Factor Effects for Quality Cha
S/N Ratio for Quality Char S/N Ratio S/N Ratio f
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DIFY THE CHART -ARLY THE Y-AXIS
S/N Ratio
Mean
-6
-5
-4
-3
-2
-1
0
ovmean
S/NR
atioforMeanindB
r Name
or Mean Mean
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Ov Mean 45.99 -3.69
45.99 -3.69
A1 46.97987 -3.78 45.99 -3.69
A2 45.00326 -3.59 45.99 -3.69
45.99 -3.69
B1 44.89031 -3.71 45.99 -3.69
B2 47.09283 -3.67 45.99 -3.6945.99 -3.69
C1 49.21199 -3.04 45.99 -3.69
C2 42.77115 -4.33 45.99 -3.69
45.99 -3.69
D1 43.80832 -4.62 45.99 -3.69
D2 48.17482 -2.75 45.99 -3.69
45.99 -3.69
E1 55.86523 -4.06 45.99 -3.69
E2 36.11791 -3.32 45.99 -3.69
45.99 -3.69
F1 48.08042 -2.85 45.99 -3.69
F2 43.90271 -4.53 45.99 -3.6945.99 -3.69
G1 47.74212 -2.01 45.99 -3.69
G2 44.24102 -5.36 45.99 -3.69
45.99 -3.69
H1 46.61115 -3.31 45.99 -3.69
H2 45.37198 -4.06 45.99 -3.69
45.99 -3.69
- 48.68642 -3.40 45.99 -3.69
- 43.29672 -3.97 45.99 -3.69
45.99 -3.69
J1 45.76876 -5.16 45.99 -3.69
J2 46.21437 -2.22 45.99 -3.69
45.99 -3.69
K1 46.49548 -1.93 45.99 -3.69
K2 45.48766 -5.44 45.99 -3.69
45.99 -3.69
ov mean
YOU CAN MPARTICUL
0
10
20
30
40
50
60
70
Ov
Mean A1A2 B1B2 C1C2 D1D2 E1E2 F1F2 G1G2 H1H2 - - J1J2 K1
S/NRatio(smaller-the-better)(dB)
Control Factors and Their Levels
Main Factor Effects
S/N Ratio S/N Ratio Mean
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DIFY THE CHART -ARLY THE Y-AXIS
S/N Ratio
Mean
-6
-5
-4
-3
-2
-1
0
K2
ovmean
S/NRatioforMeanindB
Mean
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Control Factors and Levels 1 2 Degreesof
Freedom
Sum of
Squares
Mean
Square
Agitator-rpm 46.98 45.00 1 12 12
B 44.89 47.09 1 15 15
C 49.21 42.77 1 124 124
D 43.81 48.17 1 57 57
E 55.87 36.12 1 1170 1170
F 48.08 43.90 1 52 52
Granules 47.74 44.24 1 37 37
H 46.61 45.37 1 5 5
- 48.69 43.30 0 0 0
J 45.77 46.21 1 1 1
K 46.50 45.49 1 3 3
10
Ov-Mean 45.99 45.99
Total sum of Squares due to Factor Effects 1475 1475
Total sum of Squares = grand Total -12*mean sq 1562
Error Variance (unpooled) 1 87
Error Variance (unpooled) per degree of freedom 87.15
(Error Variance pooled)) 7 158
Error Variance per degree of freedom 22.63
3.88
21.50
9.27
OV-MEAN 3.18 3.18 3.18
95% confidence interval for pred. err = +-2*sqrt(pred err) =
LEVELS
Prediction error variance (for 5 to 6 repititions) = sum of sq for error /neff=
Error Bar for each Level of CF = 2*SQRT(error var. per DF / repetition of each level) =
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Factor
Effect
(percent)
F before
pooling
empty empty or
pooled
F=
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L12
ASSIGNMENT
Control
Factor
Names
Level 1 Level 2
SELECT
LEVELLevelNam
e
Column 1 Agitator-rpm A1 A2 - -
Column 2 B B1 B2 - -
Column 3 C C1 C2 1 C1
Column 4 D D1 D2 1 D1
Column 5 E E1 E2 1 E1
Column 6 F F1 F2 1 F1
Column 7 Granules G1 G2 - -
Column 8 H H1 H2 - -
Column 9 - - - - -
Column 10 J J1 J2 - -
Column 11 K K1 K2 - -
59.0
68.27 49.72
Type 'NEW' levels
as 1,2
See the 'RESULTS'
here3.3E-033.9E-04 to
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Opt Level % Factor Effect
Contribution of
SELECTed
Level to S/N
Ratio (in dB)
DOMINANTor
Significant or
neutral/negligible
"F" after Pooling
- - 0.00 neutral/negligible- -
- - 0.00 neutral/negligible- -
C1 8 3.22 SIGNIFICANT 5
D2 4 -2.18 neutral/negligible 3
E1 79 9.87 D O M I N A N T 52
F1 4 2.09 neutral/negligible 2
- - 0.00 neutral/negligible- -
- - 0.00 neutral/negligible- -
- - 0.00 neutral/negligible- -
- - 0.00 neutral/negligible- -
- - 0.00 neutral/negligible- -
Ov-Mean 45.99
S/N Ratio 58.99
"+-" prediction
error (95%
confidence) in dB 9.27
'Thickness' -
Fraction of
std_dev/mean
Range
Center Value
1.1E-03