Statistical Process Control 5 Part 14 ppt
Statistical Process Control 5 Part 2 pptx
... 55 .3 55 .4 55 .4 55 .4 55 .4 55 .4 55 .4
55 .5 55. 5 55 .5 55. 5 55 .5 55. 5 55 .5 55. 6
55 .6 55 .6 55 .6 55 .6 55 .6 55 .6 55 .7 55 .7
55 .7 55 .7 55 .7 55 .7 55 .7 55 .7 55 .8 55 .8
55 .8 55 .8 55 .8 55 .8 55 .8 55 .9 55 .9 55 .9
55 .9 ... data
56 .1 56 .0 55 .7 55 .4 55 .5 55. 9 55 .7 55 .4
55 .1 55 .8 55 .3 55 .4 55 .5 55. 5 55 .2...
Statistical Process Control 5 Part 3 ppt
... 54 1
yr4/mo10 51 7
yr4/mo11 52 4
yr4/mo12 53 6
yr5/mo1 499
yr5/mo2 53 1
yr5/mo3 51 4
yr5/mo4 56 2
yr5/mo5 53 3
yr5/mo6 51 6
yr5/mo7 52 5
yr5/mo8 51 7
yr5/mo9 53 2
yr5/mo10 52 1
yr5/mo11 53 1
yr5/mo12 53 5
yr6/mo1 54 5
yr6/mo2 ... 151 .50 7
18 157 148 149 1 53 151 . 75 9
19 1 53 155 149 151 152 .00 6
20 155 142 150 150 149. 25 13
21 146 156 148 160 152 .50 14
22 152 147 15...
Statistical Process Control 5 Part 4 pptx
... 3.2
24) 2.9
25) 3.3
26) 3.0
27) 3 .4
28) 3.1
29) 3 .5
30) 3.1
31) 3.2
32) 3 .5
33) 2 .4
34) 3 .5
35) 3.3
36) 3.6
37) 3.2
38) 3 .4
39) 3 .5
40 ) 3.0
41 ) 3 .4
42) 3 .5
43 ) 3.6
44 ) 3.0
45 ) 3.1
46 ) 3 .4
47) ... =
R
d
n
=
10.8
2. 059
= 5. 25 mm
and Upper Action Line = 150 .1 + (3 ϫ 5. 25/
ͱස
4)
= 157 .98 mm
Upper Warning Line = 150 .1 + (2 ϫ 5. 25/
ͱ
ස
4)
= 155 ....
Statistical Process Control 5 Part 5 ppt
... Range
1 55 0.8 4.2 11 55 3.1 3.8
2 55 2.7 4.2 12 55 1.7 3.1
3 55 3.8 6.7 13 56 1.2 3 .5
4 55 5.8 4.7 14 55 4.2 3.4
5 553 .8 3.2 15 552 .3 5. 8
6 54 7 .5 5.8 16 55 2.9 1.6
7 55 0.9 0.7 17 56 2.9 2.7
8 55 2.0 5. 9 18 55 9.4 ... contents
123 45
1 3336373836
2 353 53237 35
3 3138 353 638
4 37 353 63634
5 34 353 63637
6 343338 353 8
7 343637 353 4
8 3637 353 231
9 34343234...
Statistical Process Control 5 Part 6 pot
... 7 25 8
2 5 26 7 .5
3 8 .5 27 7
4 7 28 6 .5
5 8 .5 29 10 .5
6 8 30 9 .5
7 8 .5 31 8
8 10 .5 32 10
9 8 .5 33 8
10 11 34 4 .5
11 7 .5 35 10 .5
12 9 36 8 .5
13 6 .5 37 9
14 6 .5 38 7
15 6 .5 39 7 .5
16 7 40 10 .5
17 ... 4 06. 2 45 409.9
6 4 06. 2 46 410.8
7 402.2 47 410.8
8 401 .5 48 4 06. 1
9 401.8 49 401.3
10 402 .6 50 401.3
11 402 .6 51 404 .5
12...
Statistical Process Control 5 Part 7 ppt
... 1
4 5 14 3 24 3 34 3
5 4 15 7 25 1 35 1
6 3 16 3 26 2 36 5
7 6 17 5 27 6 37 5
8 3 18 1 28 0 38 2
9 2 19 3 29 5 39 3
10 5 20 3 30 2 40 4
Figure 9.1 c-chart of minor accidents per month
Process control ... 12 75 14 0.011
15 1300 16 0.012
16 2360 12 0.0 05
17 12 15 14 0.012
18 1 250 5 0.004
19 12 05 8 0.0 07
20 950 9 0.009
21 4 05 9 0.022
22 1080 6 0.006
2...
Statistical Process Control 5 Part 8 pdf
... 147 .50 –2.60 37 .80
23 147 .50 –2.60 35. 20
24 152 .50 2.40 37.60
25 155 .50 5. 40 43.00
26 159 .00 8. 90 51 .90
27 144 .50 5. 60 46.30
28 153 . 75 3. 65 49. 95
29 155 .00 4.90 54 . 85
30 1 58 .50 8. 40 63. 25
Cumulative ... 8. 90 19 .80
13 150 .00 –0.10 19.70
14 154 . 25 4. 15 23. 85
15 151 .00 0.90 24. 75
16 150 . 25 0. 15 24.90
17 153 . 75 3. 65 28 .55
18 1...
Statistical Process Control 5 Part 9 potx
... 3 79 95 0 95 . 0
Phenol content >1% 9 600 3 89 55 0 97 .4
High iron content 5 000 3 95 550 98 . 65
Unacceptable chromatogram 4 50 0 399 050 99 . 75
Unacceptable abs. spectrum 95 0 400 000 100.0
290 Process ... matter 50 0 nil 1 25
05 170 Excess insoluble matter 50 0 nil 1 25
05 178 Moisture content high 50 0 50 100
05 1 79 Excess insoluble matter 50 0 nil 1 25
05...
Statistical Process Control 5 Part 10 ppsx
... 2 .5 93. 75
Instruments/analysers | | 2 2 .5 96. 25
Over-correction F .109 | 1 1. 25 97 .5
Refridge problems | 1 1. 25 98. 75
Lab results | 1 1. 25 100
330 Managing out-of -control processes
When a process ... H.C.L. control 49 Reactor stick
10 H.C.L. control 50 H.C.L. control
11 Reactor stick 51 H.C.L. control
12 Reactor stick 52 H.C.L. control
13 Feed poison 5...
Statistical Process Control 5 Part 11 pps
...
interval
ppm
x ± 68.27 15. 8 65 158 655 317 310
x ± 1 .5 86.64 6.6806 66 806 133 612
x ± 2 95. 45 2.2 75 22 750 45 500
x ± 3 99.73 0.1 35 1 350 2 700
x ± 4 99.99367 0.003 15 31 .5 63.0
x ± 4 .5 99.99932 0.00034 ... term process ‘width’
Design tolerance
-3s
+3s
-7.5s +4.5s
LSL
0 ppm
USL
3.4 ppm
T
1.5s
Process shift
358 Six-sigma process quality
a centred process (normally...
Statistical Process Control 5 Part 12 docx
... .16 85 .1660 .16 35 .1611
1.0 . 158 7 . 156 2 . 153 9 . 151 5 .1492 .1469 .1446 .1423 .1401 .1379
1.1 .1 357 .13 35 .1314 .129 2 .127 1 .1 251 .123 0 .121 0 .1190 .1170
1.2 .1 151 .1131 .1 112 .1093 .10 75 .1 056 ... 0.67 0 .51
19 1.014 1 .57 1.34 0.69 0 .53 1 .55 1.32 0.68 0 .52
20 1.013 1 .54 1.34 0.69 0 .54 1 .52 1.32 0.68 0 .53
21 1.013 1 .52 1.33 0.70 0 .55 1 .50 1.31 0.69 0 .54...
Statistical Process Control 5 Part 13 pps
... 99.4 99 .5 99 .5 99 .5 99 .5 99 .5 99 .5
0.100 3 5. 54 5. 46 5. 39 5. 34 5. 31 5. 28 5. 27 5. 25 5.24 5. 23 5. 22 5. 20 5. 18 5. 18 5. 17 5. 16 5. 15 5.14 5. 13
0. 050 10.1 9 .55 9.28 9.12 9.01 8.94 8.89 8. 85 8.81 8.79 ... 249 250 251 252 253 254
0.0 25 648 800 864 900 922 937 948 957 963 969 977 9 85 993 997 1001 1006 1010 1014 1018
0.010 4 052 4999 54 03 56...
Statistical Process Control 5 Part 14 ppt
... 48 52
kurtosis measure, 393
non-normal, 371–4
normal, 76–9, 88–9, 100, 386– 95
skewed, 84 5, 393 5
DMAIC, 359 –63, 367
Dot plots, 50
Downgrading, 11
Dyestuff formulation (worked example),
1 45 6, ... 10
system, 14 17, 42–3, 334–6
Random causes, variability, 68–72
Range, 85 6, 1 05
control chart, 93, 114 19, 130–1
control chart constants, 397–8
Ranking tables, 47, 310–12
Reactor Moo...
Statistical Process Control 5 Episode 14 pdf
...
200
203
2 05
213
213
214
2 15
217
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230
232
234
2 35
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240
243
2 45
253
253
253
253
256
7.2.1.2
Physicists, Chemists and Metallurgists Cooperate
259
7.2.1.3 ...
43 1
432
433
436
438
439
444
446
448
449
449
45
1
452
454
456
456
4 65
4 65
468
469
47 1
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4 75
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478
48
1
482
Contents
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