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02-21-2018 20:54 PM
Given some sample data:
MeasureValueLimitUpperLimitLowerIndexTarget
0.05 | 0.05 | 0 | 0 | 0.03 |
0.04 | 0.05 | 0 | 1 | 0.03 |
0.04 | 0.05 | 0 | 2 | 0.03 |
0.05 | 0.05 | 0 | 3 | 0.03 |
0.04 | 0.05 | 0 | 4 | 0.03 |
0.04 | 0.05 | 0 | 5 | 0.03 |
0.05 | 0.05 | 0 | 6 | 0.03 |
Presents common process improvement measures as documented here: https://en.wikipedia.org/wiki/Process_capability_index
Cp = VAR sigma = STDEV.S(Process[MeasureValue]) RETURN (MAX(Process[LimitUpper])-MIN(Process[LimitLower]))/(6*sigma) Cplower = VAR sigma = STDEV.S(Process[MeasureValue]) VAR estimatedMean = AVERAGE(Process[MeasureValue]) RETURN (estimatedMean-MIN(Process[LimitLower]))/(3*sigma) Cpupper = VAR sigma = STDEV.S(Process[MeasureValue]) VAR estimatedMean = AVERAGE(Process[MeasureValue]) RETURN (MAX(Process[LimitUpper])-estimatedMean)/(3*sigma) Cpk = VAR sigma = STDEV.S(Process[MeasureValue]) VAR estimatedMean = AVERAGE(Process[MeasureValue]) VAR Cplower = (estimatedMean-MIN(Process[LimitLower]))/(3*sigma) VAR Cpupper = (MAX(Process[LimitUpper])-estimatedMean)/(3*sigma) RETURN MIN(Cplower,Cpupper) Cpm = VAR sigma = STDEV.S(Process[MeasureValue]) VAR estimatedMean = AVERAGE(Process[MeasureValue]) VAR Cp = (MAX(Process[LimitUpper])-MIN(Process[LimitLower]))/(6*sigma) VAR denom = SQRT(1+POWER((estimatedMean - MAX(Process[Target]))/sigma,2)) RETURN DIVIDE(Cp,denom) Cpkm = VAR sigma = STDEV.S(Process[MeasureValue]) VAR estimatedMean = AVERAGE(Process[MeasureValue]) VAR Cplower = (estimatedMean-MIN(Process[LimitLower]))/(3*sigma) VAR Cpupper = (MAX(Process[LimitUpper])-estimatedMean)/(3*sigma) VAR Cpk = MIN(Cplower,Cpupper) VAR denom = SQRT(1+POWER((estimatedMean - MAX(Process[Target]))/sigma,2)) RETURN DIVIDE(Cpk,denom)
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Check with a statistician, when calculating Cp/Cpk, my formula for Sigma is incorrect. DAX STDEV.S (also called sigma) is used for Pp/PpK and not Cpk.
For Cpk, sigma is calculated using Moving Range (MR). In particular, for Individual Moving Range, Sigma = MRbar/1.128. 1.128 is a constant.
Help needed: Can help provide DAX to calculate the column "Moving Range"? Moving range is the absolute difference between adjacent MeasureValue.
Hi @Greg_Deckler,
Added link to sample pbix file. Need help on DAX to calculate Moving Average (MR).
https://1drv.ms/u/s!ArjVwEnHONXNghspzwtVdKi9T6KS
Once done,
1) calculating MRbar, CPk and Cp are easy.
2) ImR Chart: Creating ImR chart will be easy. Just 2 line charts
http://blog.minitab.com/blog/understanding-statistics/how-create-and-read-an-i-mr-control-chart
hi @Greg_Deckler,
Wanted to share results of my work with help from @Zubair_Muhammad and yourself. Thank again.
Objective: Create Individual Moving Range Chart (simplest of SPC chart) using Power BI.
- Calculate: Cp, Cpk, Pp & Ppk
- Calculate: Moving Range (MR) and Sigma=MRbar/1.128
https://1drv.ms/u/s!ArjVwEnHONXNgh2-T7FtnCPcmkYg
Hello. I am very new to this.
But is it possible to create a Data source for this template?
Greetings
@vincentakatoh - A statistician I am not! So, is the only change that is required to the sigma calculation or is there other things that are incorrect? If you can help me get the equations correct I will update the post or see if I can remove it and let you post the correct Quick Measures to the gallery!
Below is how I calculae Cpk. Calculations for Cpk is when Sample=1.
Step 1: EarlierTime = CALCULATE ( MAX ( QLMS[TimeSPC] ); FILTER ( ALLSELECTED ( QLMS[TimeSPC] ); QLMS[TimeSPC] < SELECTEDVALUE ( QLMS[TimeSPC] ) ) ) Step 2: MovingRange = IF(ISBLANK(QLMS[EarlierTime]);blank();( VAR EarlierTime = CALCULATE ( MAX ( QLMS[TimeSPC] ); FILTER ( ALLSELECTED ( QLMS[TimeSPC] ); QLMS[TimeSPC] < SELECTEDVALUE ( QLMS[TimeSPC] ) ) ) VAR EarlierMeasureValue = CALCULATE ( SUM ( QLMS[MeasureValue] ); QLMS[TimeSPC] = EarlierTime ) RETURN ABS ( EarlierMeasureValue - SUM ( QLMS[MeasureValue] ) ) )) Step 3: MRBar = AverageX(ALLSELECTED(QLMS[TimeSPC]);[MovingRange]) Step 4: (1.128 constant applies when sample size=1) Sigma = [MRBar]/1.128 Step 5: Cp = (MAX(QLMS[Limit_USL])-MIN(QLMS[Limit_LSL]))/(6*[Sigma]) Step 6: Cpk = VAR CpU = (MAX([Limit_USL]) - [Mean])/(3*[Sigma]) VAR CpL = ([Mean] - MAX([Limit_LSL]))/(3*[sigma]) RETURN MIN(CpU;CpL)
Hi Vincent, I'm trying to use your measures but I'm getting stuck at EarlierMeasureValue, I'm getting the err
or 'A function 'CALCULATE' has been used in a True/False expression that is used as a table filter expression. This is not allowed', please can you help?