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...
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Statistical Process Control 5 Part 4 pptx
... = 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 . 35 mm Lower Warning Line = 150 .1 – (2 ϫ 5. 25 / ͱ ස 4) = 144. 85 mm Lower ... 3.6 23 ) 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)...
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Statistical Process Control 5 Part 3 ppt
... tablets Weight (gm) Number of tablets 0 .23 8 2 .23 9 13 .24 0 32 .24 1 29 .24 2 18 .24 3 21 .24 4 20 .2 45 22 .24 6 22 .24 7 13 .24 8 3 .24 9 0 . 25 0 1 . 25 1 1 . 25 2 0 . 25 3 1 . 25 4 0 . 25 5 2 200 Variation and its management ... 54 1 yr4/mo10 51 7 yr4/mo11 52 4 yr4/mo 12 53 6 yr5/mo1 499 yr5/mo2 53 1 yr5/mo3 51 4 yr5/mo4 56 2 yr5/mo5 53 3 yr5/mo6 5...
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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 5 52 .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 ... 60.0 5 26 59 .6 3 2 60.0 3 27 60.0 4 3 61.8 4 28 61 .2 3 4 59 .2 3 29 60.8 5 5 60.4 4 30 60.8 5 6 59 .6 4 3...
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Statistical Process Control 5 Part 6 pot
... 7 C 24 29 .6 8 B 25 28 .2 10 B 26 26 .7 12 A 27 29 .0 15 A 28 22 .1 12 B 29 23 .3 13 B 30 20 .2 11 C 31 23 .5 17 B 32 18.6 11 C 33 21 .2 12 C 34 23 .4 19 B 35 16 .2 13 C 36 21 .5 17 A 37 18.6 13 C 38 20 .7 ... 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...
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Statistical Process Control 5 Part 7 ppt
... Number of accidents 1 1 11 3 21 2 31 1 2 4 12 4 22 1 32 4 3 3 13 2 23 2 33 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 ... 22 1–19 21 – 122 27 30– 123 –16 42 1 24 0 6 51 2 25 24 60 2 26–13 73 5 27 3 6 80 5 28 –33 9 –1 429 25 10 2 6...
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Statistical Process Control 5 Part 8 pdf
... 147 .50 2. 60 37.80 23 147 .50 2. 60 35. 20 24 1 52 .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 30 158 .50 8.40 63. 25 Cumulative ... 25 0 .2 0.0 05 9 25 0 .4 0.004 2 25 1 .3 0.0 05 10 25 0 .0 0.004 3 25 0 .4 0.0 05 11 24 9.4 0.00 45 4 25 0 .2 0.003 12 249.8 0.00 35 5 25 0 ....
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Statistical Process Control 5 Part 9 potx
... 50 0 3 50 0 05 0 35 Moisture content high 50 0 50 100 05 047 Conversion process failure 4000 22 000 14 000 05 058 Excess insoluble matter 50 0 nil 1 25 05 064 Excess insoluble matter 50 0 nil 1 25 05 066 ... (£) 05 0 05 Moisture content high 50 0 50 100 05 – 011 Excess insoluble matter 50 0 nil 1 25 05 018 Dyestuff contamination 4000 22 000 14 000 05 022 Excess ins...
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Statistical Process Control 5 Part 10 ppsx
... 066 26 0 02 BHD-DDB 16 24 0 5 0 75 11 1 65 003 DDB-Sulphur 16 000 22 4 15 776 004 Nicotine-Phos 4 25 0 0 19 55 0 22 950 0 05 Fensome 8 800 4 800 4 000 006 Aldrone 106 821 45 6 42 61179 007 DDB 26 00 1 456 ... | 2 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...
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Statistical Process Control 5 Part 11 pps
... ± 68 .27 15. 8 65 158 655 317 310 x ± 1 .5 86.64 6.6806 66 806 133 6 12 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 99.999 32 0.00034 ... 0.00034 3.4 6.8 x ± 5 99.999943 0.000 02 85 0 .2 85 0 .57 0 x ± 6 99.9999998 0.0000001 0.001 0.0 02 14 Six-sigma process quality Objectives ᭹ To introduce the six-s...
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