Statistical Process Control 5 Part 6 pot

... 7 25 82 5 26 7 .5 3 8 .5 27 74 7 28 6 .5 5 8 .5 29 10 .5 6 8 30 9 .5 7 8 .5 31 88 10 .5 32 109 8 .5 33 810 11 34 4 .5 11 7 .5 35 10 .5 12 9 36 8 .5 13 6 .5 37 914 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 46 410.87 402.2 47 410.88 401 .5 48 4 06. 19 401.8 49 401.310 402 .6 50 401.311 402 .6 51 404 .5 12 414.2 52 404 .5 13 4 16 .5 53 404.914 418 .5 54 4 05. 3 15 422.7 55 4 05. 3 16 ... 422.7 56 4 15. 017 404.8 57 4 15. 018 401.2 58 407.319 404.8 59 399 .5 20 412.0 60 399 .5 21 412.0 61 4 05. 422 4 05. 9 62 4 05. 423 404.7 63 397.924 403.3 64 390.4 25 400.3 65 390.4 26 400.3 66 3 95. 527...

Statistical Process Control 5 Part 9 potx

... spectrum 50 0 50 400 06 150 Excess insoluble matter 50 0 nil 1 25 06 151 Moisture content high 50 0 50 100 06 161 Excess insoluble matter 50 0 nil 1 25 06 1 65 Moisture content high 50 0 50 100 06 172 Moisture ... 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 ... 1 25 05 066 Excess insoluble matter 50 0 nil 1 25 05 0 76 Low melting point 1000 50 0 3 50 0 05 081 Moisture content high 50 0 50 100 05 0 86 Moisture content high 50 0 50 100 05 104 High iron content 50 0...

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 55 .8 55 .6 55 .7 55 .1 56 .2 55 .6 55 .7 55 .3 55 .5 55. 0 55 .6 55 .4 55 .9 55 .2 56 .0 55 .7 55 .6 55 .9 55 .8 55 .6 55 .4 56 .1 55 .7 55 .8 ... 55 .8 55 .3 55 .6 56 .0 55 .8 55 .7 55 .5 56. 0 55 .3 55 .7 55 .9 55 .4 55 .9 55 .5 55. 8 55 .5 55. 6 55 .2Table 3.2 Diameters of pistons ranked in order of size (mm) 55 .0 55 .1 55 .1 55 .2 55 .2 55 .2 55 .3 55 .3 55 .3...

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Statistical Process Control 5 Part 3 ppt

... 54 1yr4/mo10 51 7yr4/mo11 52 4yr4/mo12 53 6 yr5/mo1 499yr5/mo2 53 1yr5/mo3 51 4yr5/mo4 56 2yr5/mo5 53 3yr5/mo6 51 6 yr5/mo7 52 5yr5/mo8 51 7yr5/mo9 53 2yr5/mo10 52 1yr5/mo11 53 1yr5/mo12 53 5yr6/mo1 54 5yr6/mo2 ... 150 1 46 148 157 150 . 25 11 16 147 144 148 149 147.00 5 17 155 150 153 148 151 .50 718 157 148 149 153 151 . 75 919 153 155 149 151 152 .00 6 20 155 142 150 150 149. 25 1321 1 46 1 56 148 160 152 .50 1422 ... 144 1 46 154 1 46 147 .50 102 151 150 134 153 147.00 193 1 45 139 143 152 144. 75 134 154 1 46 152 148 150 .00 8 5 157 153 155 157 155 .50 4 6 157 150 1 45 147 149. 75 127 149 144 137 155 1 46. 25 188...

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Statistical Process Control 5 Part 4 pptx

... 3.0 45) 3.1 46) 3.447) 3.148) 3 .6 49) 3.3 50 ) 3.3 51 ) 3.4 52 ) 3.4 53 ) 3.3 54 ) 3.2 55 ) 3.4 56 ) 3.3 57 ) 3 .6 58 ) 3.1 59 ) 3.4 60 ) 3 .5 61 ) 3.2 62 ) 3.7 63 ) 3.3 64 ) 3.1I hope you can make use of this ... =Rdn=10.82. 059 = 5. 25 mmand Upper Action Line = 150 .1 + (3 ϫ 5. 25/ ͱස4)= 157 .98 mmUpper Warning Line = 150 .1 + (2 ϫ 5. 25/ ͱස4)= 155 . 35 mmLower Warning Line = 150 .1 – (2 ϫ 5. 25/ ͱස4)= 144. 85 ... Average – 2. 65 = 25 000 g. Thus, the average target should be 25 000 + (2. 65 ϫ 20) g = 25 053 g = 25. 053 kg (see Figure 5. 10).Figure 5. 9 Setting target fill quantity in paint process Figure 5. 10 Target...

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Statistical Process Control 5 Part 5 ppt

... Range1 55 0.8 4.2 11 55 3.1 3.82 55 2.7 4.2 12 55 1.7 3.13 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 2.78 55 2.0 5. 9 18 55 9.4 ... 417 59 .6 1 42 60 .6 5 18 59 .6 5 43 61 .4 5 19 59 .4 3 44 60 .4 5 20 61 .8 4 45 62 .4 6 21 60 .0 4 46 63.2 5 22 60 .0 5 47 63 .6 723 60 .4 7 48 63 .8 5 24 60 .0 5 49 62 .0 6 25 61 .2 2 50 64 .6 4(See also ... 60 .6 38 60 .2 1 33 63 .6 39 60 .6 2 34 61 .2 210 59 .6 5 35 61 .0 711 59 .0 2 36 61.0 312 61 .0 1 37 61 .4 5 13 60 .4 5 38 60 .2 414 59 .8 2 39 60 .2 4 15 60 .8 2 40 60 .0 7 16 60.4 2 41 61 .2 417 59 .6...

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Statistical Process Control 5 Part 7 ppt

... –221–1921–122–2730–123– 16 42 1 24 0 6 51 2 25 24 60 2 26 1373 5 27 3 6 80 5 28–339 –1429 25 10 2 6 30 –1411 0 6 31 –2212 1 7 32 1 313 – 163 3–2114 0 6 34 0 1 15 4 10 35 –2 –1 16 0 10 36 2 117 2 12 ... 14 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 29 2 19 3 29 5 39 310 5 20 3 30 2 40 4Figure 9.1 c-chart of minor accidents per month Process control ... 0.00913 1700 16 0.00914 12 75 14 0.011 15 1300 16 0.012 16 2 360 12 0.0 05 17 12 15 14 0.01218 1 250 5 0.00419 12 05 8 0.00720 950 9 0.00921 4 05 9 0.02222 1080 6 0.0 06 23 14 75 10 0.00724 1 060 10 0.009200...

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Statistical Process Control 5 Part 8 pdf

... 147 .50 –2 .60 37.8023 147 .50 –2 .60 35. 2024 152 .50 2.40 37 .60 25 155 .50 5. 40 43.00 26 159 .00 8.90 51 .9027 144 .50 5. 60 46. 3028 153 . 75 3. 65 49. 95 29 155 .00 4.90 54 . 85 30 158 .50 8.40 63 . 25 Cumulative ... –0.203 152 .50 2.40 2.204 1 46. 00 –4.10 –1.90 5 147. 75 –2. 35 –4. 25 6 151 . 75 1. 65 –2 .60 7 151 . 75 1. 65 –0. 95 8 149 .50 –0 .60 –1 .55 9 154 . 75 4. 65 3.1010 153 .00 2.90 6. 0011 155 .00 4.90 10.9012 159 .00 ... 19.8013 150 .00 –0.10 19.7014 154 . 25 4. 15 23. 85 15 151 .00 0.90 24. 75 16 150 . 25 0. 15 24.9017 153 . 75 3. 65 28 .55 18 154 .00 3.90 32. 45 19 157 . 75 7. 65 40.1020 163 .00 12.90 53 .0021 137 .50 –12 .60 40.4022...

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Statistical Process Control 5 Part 10 ppsx

... 066 26 002 BHD-DDB 16 240 5 0 75 11 1 65 003 DDB-Sulphur 16 000 224 15 7 76 004 Nicotine-Phos 4 250 0 19 55 0 22 950 0 05 Fensome 8 800 4 800 4 0000 06 Aldrone 1 068 21 45 64 2 61 179007 DDB 260 0 1 4 56 ... Dinosab 37 50 0 9 50 0 28 0000 15 Maleic Hydrazone 11 300 2 4 86 8 8140 16 Thirene-BHD 63 ,9 45 44 4 06 19 53 9017 Dinosin 38 800 25 463 13 337018 2,4-P 23 65 0 4 300 19 350 019 Phosphone 13 467 6 030 7 ... DDB 260 0 1 4 56 1 144008 Dimox 6 400 904 5 4 96 009 DNT 288 900 123 264 1 65 63 6010 Parathone 113 400 95 410 17 990011 HETB 11 700 6 200 5 500012 Mepofox 12 000 2 58 0 9 420013 Derros-Pyrethene...

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Statistical Process Control 5 Part 11 pps

... intervalppmx ± ␴ 68 .27 15. 8 65 158 65 5 317 310x ± 1 .5 86. 64 6. 68 06 66 8 06 133 61 2x ± 2␴ 95. 45 2.2 75 22 750 45 500x ± 3␴ 99.73 0.1 35 1 350 2 700x ± 4␴ 99.99 367 0.003 15 31 .5 63 .0x ± 4 .5 99.99932 ... ofspecificationComparativeposition 6 3.4 0.00034 World class 5 233 0.0233 Industry best in class4 6 210 0 .62 1 Industry average3 66 807 6. 6807 Lagging industry standards2 308 53 7 30. 853 7 Non-competitive1 69 0 000 69 Out ... with a process shift of ±1 .5 will be 66 810 ppm:x – 1 .5 ϵ 66 8 06 ppmx + 4 .5 ϵ 3.4 ppmFigure 14.2 shows the levels of improvement necessary to move from a ±3sigma process to a 6 sigma process, ...

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