Statistical Process Control 5 Part 5 ppt

Robotics process control book Part 5 docx

Robotics process control book Part 5 docx

... The second part of the proof - necessity - is much harder to prove. The choice of µ for computations is usually µ = I (3.2 .55 ) Controllability of continuous systems The concept of controllability ... theory of automatic control. Definition of controllability of linear system dx(t) dt = A(t)x(t) + B(t)u(t) (3.2 .56 ) is as follows: A state x(t 0 ) = 0 of the system ( 3.2 .56 ) is control...

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Statistical Process Control 5 Part 2 pptx

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 3 ppt

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 ... 148 157 150 . 25 11 16 147 144 148 149 147.00 5 17 155 150 153 148 151 .50 7 18 157 148 149 153 151 . 75 9 19 153 155 149 151 152 .00 6 20 155 14...

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Statistical Process Control 5 Part 4 pptx

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 ... 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 tar...

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Statistical Process Control 5 Part 5 ppt

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...

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Statistical Process Control 5 Part 7 ppt

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 0.007 20 950 9 0.009 21 4 05 9 0.022 22 1080 6 0.006 23 14 75 10...

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Statistical Process Control 5 Part 14 ppt

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, ... 231 Data: collection, 42–6 discrete, 44 5 interpreting, 64–8 recording, 45 6 subgrouping, 95 types, 44 5 understanding, 63–8 variable, 45 Data sheet, design, 45 6 Decision intervals, 237...

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Statistical Process Control 5 Part 6 pot

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 ... of five, 55 3, 55 5, 56 1, 55 4, 55 1, is: Highest Lowest  56 1 + 55 1 2 = 55 6 The central-line on the mid-range control chart is the median o...

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Statistical Process Control 5 Part 8 pdf

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 30 158 .50 8.40 63. 25 Cumulative ... 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 18 154 .00 3.90 32. 45 19...

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Statistical Process Control 5 Part 9 potx

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 ... 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 05 179 Excess insoluble matter 50 0 nil 1 25 05 179 Exces...

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