Statistical Process Control 5 Episode 1 potx
Statistical Process Control 5 Episode 1 potx
... 3 01
References 302
Discussion questions 303
Worked examples 307
12 Managing out-of -control processes 3 15
Objectives 3 15
12 .1 Introduction 3 15
12 .2 Process improvement strategy 316
12 .3 Use of control ... the process 340
13 .4 Taguchi methods 347
13 .5 Summarizing improvement 353
Chapter highlights 353
References 354
Discussion questions 355
14 Six-sigma proc...
Statistical Process Control 5 Part 9 potx
... nil 2 000
05 10 7 Excess insoluble matter 50 0 nil 1 25
05 11 1 Excess insoluble matter 50 0 nil 1 25
05 13 2 Moisture content high 50 0 50 10 0
05 14 0 Low melting point 10 00 50 0 3 50 0
05 15 0 Dyestuff ... matter 50 0 nil 1 25
07 17 8 Moisture content high 50 0 50 10 0
07 1 85 Unacceptable chromatogram 50 0 1 750 2 250
07 1 95 Excess insoluble matter 50 0...
Statistical Process Control 5 Episode 14 pdf
...
7.2 .1
Semiconductors
7.2 .1. 1
Silicon and Germanium
Xlll
19 1
19 6
19 8
200
203
2 05
213
213
214
2 15
217
218
222
226
230
232
234
2 35
236
240
243
2 45
253
253
253
253
256 ... SCIENCE
3 .1.
The Legs
of
the Tripod
3 .1. 1
Atoms and Crystals
3 .1.
I.
1
X-ray Diffraction
xi
ix
3
3
3
8
11
13
21
21
23
32
35
41
45...
Statistical Process Control 5 Part 2 pptx
... 55 .1 55 .1 55 .2 55 .2 55 .2 55 .3 55 .3
55 .3 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 ... 3 .1 Diameters of pistons (mm) – raw data
56 .1 56 .0 55 .7 55 .4 55 .5 55. 9 55 .7 55 .4
55 .1...
Statistical Process Control 5 Part 3 ppt
... 14 8 15 1 .50 7
18 15 7 14 8 14 9 15 3 15 1 . 75 9
19 15 3 15 5 14 9 15 1 15 2 .00 6
20 15 5 14 2 15 0 15 0 14 9. 25 13
21 146 15 6 14 8 16 0 15 2 .50 14
22 15 2 14 7 15 8 15 4 15 2 . 75 11
23 14 3 15 6 15 1 15 1 15 0 . 25 13
24 15 1 15 2 ... 9
11 15 1 15 0 15 4 15 3 15 2 .00 4
12 15 5 1 45 15 2 14 8 15 0 .00 10
13 15 2 14 6 15 2 14 2 14 8.00 10
14 14 4...
Statistical Process Control 5 Part 4 pptx
... =
R
d
n
=
10 .8
2. 059
= 5. 25 mm
and Upper Action Line = 15 0 .1 + (3 ϫ 5. 25/
ͱස
4)
= 15 7 .98 mm
Upper Warning Line = 15 0 .1 + (2 ϫ 5. 25/
ͱ
ස
4)
= 15 5 . 35 mm
Lower Warning Line = 15 0 .1 – (2 ϫ 5. 25/
ͱ
ස
4)
= 14 4. 85 ... X =
14 7 .5 + 14 7.0 + 14 4. 75 + . . . + 15 0 .5
25
= 15 0 .1 mm.
Mean Range, R =
10 +19 +13 +8+ +17
25
= 10 .8 mm
From Appendix B, for...
Statistical Process Control 5 Part 5 ppt
... X
1
X
2
X
3
X
4
X
5
1 15 11 8 15 6
2 14 1 611 14 7
313 6 9 51 0
4 15 15 9 15 7
5 9 12 9 8 8
6 11 1 411 12 5
713 129 610
810 15 1 246
9 8 12 14 9 10
10 10 10 9 14 14
11 13 16 12 15 18
12 7 10 9 11 16
13 11 7 16 ... 13 36 13 32
12 13 35 13 35 13 41 1338 13 35
13 13 36 13 36 13 37 13 31 1334
14 13 35 13 35 13 32 13 32 13 39
15...
Statistical Process Control 5 Part 6 pot
... THF
SIMP
THF
RED
19 6 14 .2 11 .1 3 71 13.7 11 .0
2 05 14 .5 11 .4 372 14 .4 11 .5
207 14 .6 11 .7 373 14 .3 11 .9
208 13 .7 11 .6 374 13 .7 11 .2
209 14 .7 11 .5 3 75 14 .0 11 .6
210 14 .6 11 .1 376 14 .2 11 .5
2 31 13.6 11 .6 377 14 .5 ... 14 .5 12 .2
232 14 .7 11 .6 378 14 .4 11 .6
234 14 .2 12 .2 379 14 .5 11 .8
2 35 14 .4 12 .0 380 14...
Statistical Process Control 5 Part 7 ppt
... of
rejects
Proportion
defective
1 11 35 10 0.009
2 14 05 12 0.009
3 8 05 11 0. 014
4 12 40 16 0. 013
5 10 60 10 0.009
6 9 05 7 0.008
7 13 45 22 0. 016
8 980 10 0. 010
9 11 20 15 0. 013
10 54 0 13 0.024
11 11 30 16 0. 014
12 990 9 0.009
13 ... 0.009
13 17 00 16 0.009
14 12 75 14 0. 011
15 13 00 16 0. 012
16 2360 12 0.0 05
17 12 15 14 0. 012...
Statistical Process Control 5 Part 8 pdf
... 8.90 19 .80
13 15 0 .00 –0 .10 19 .70
14 15 4 . 25 4. 15 23. 85
15 15 1 .00 0.90 24. 75
16 15 0 . 25 0. 15 24.90
17 15 3 . 75 3. 65 28 .55
18 15 4 .00 3.90 32. 45
19 15 7 . 75 7. 65 40 .10
20 16 3.00 12 .90 53 .00
21 137 .50 12 .60 ... –0.20
3 15 2 .50 2.40 2.20
4 14 6.00 –4 .10 1. 90
5 14 7. 75 –2. 35 –4. 25
6 15 1 . 75 1. 65 –2.60
7 15 1 . 75 1. 65 –0....
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