Forum Discussion
Circular reference calculation
- 9 years ago
Generally recursive calculations can be replicated non-recursively using a combination of cumulative measures, as measures and calculated columns can't self-reference.
See sample model here:
https://www.dropbox.com/s/9zqbq4gvhsg9bba/Circular%20reference%20calculation.pbix?dl=0
This is the output:
To produce this, let's suppose these are your two source tables:
'Initial Stock' table
Data table
Then this series of measures will produce your closing and opening stock by period:Initial Stock Measure = SUM ( 'Initial Stock'[Intial Stock] ) // This measure should be constant over time and represents Stock at time zero Production Sum = SUM ( Data[Production] ) Market Sum = SUM ( Data[Market] ) Production Cumulative = CALCULATE ( [Production Sum], FILTER ( ALL ( Data[Time index] ), Data[Time index] <= MAX ( Data[Time index] ) ) ) Market Cumulative = CALCULATE ( [Market Sum], FILTER ( ALL ( Data[Time index] ), Data[Time index] <= MAX ( Data[Time index] ) ) ) Shortfall Cumulative = [Market Cumulative] - ( [Initial Stock Measure] + [Production Cumulative] ) Shortfall Cumulative Maximum So Far = MAX ( MAXX ( FILTER ( ALL ( Data[Time index] ), Data[Time index] <= MAX ( Data[Time index] ) ), [Shortfall Cumulative] ), 0 ) Closing Stock = [Initial Stock Measure] + [Production Cumulative] - [Market Cumulative] + [Shortfall Cumulative Maximum So Far] Opening Stock = CALCULATE ( [Closing Stock], FILTER ( ALL ( Data[Time index] ), Data[Time index] = MIN ( Data[Time index] ) - 1 ) )
Anyway, this is just an example to illustrate it can be done :)
Generally recursive calculations can be replicated non-recursively using a combination of cumulative measures, as measures and calculated columns can't self-reference.
See sample model here:
https://www.dropbox.com/s/9zqbq4gvhsg9bba/Circular%20reference%20calculation.pbix?dl=0
This is the output:
To produce this, let's suppose these are your two source tables:
'Initial Stock' table
Data table
Then this series of measures will produce your closing and opening stock by period:
Initial Stock Measure = SUM ( 'Initial Stock'[Intial Stock] ) // This measure should be constant over time and represents Stock at time zero Production Sum = SUM ( Data[Production] ) Market Sum = SUM ( Data[Market] ) Production Cumulative = CALCULATE ( [Production Sum], FILTER ( ALL ( Data[Time index] ), Data[Time index] <= MAX ( Data[Time index] ) ) ) Market Cumulative = CALCULATE ( [Market Sum], FILTER ( ALL ( Data[Time index] ), Data[Time index] <= MAX ( Data[Time index] ) ) ) Shortfall Cumulative = [Market Cumulative] - ( [Initial Stock Measure] + [Production Cumulative] ) Shortfall Cumulative Maximum So Far = MAX ( MAXX ( FILTER ( ALL ( Data[Time index] ), Data[Time index] <= MAX ( Data[Time index] ) ), [Shortfall Cumulative] ), 0 ) Closing Stock = [Initial Stock Measure] + [Production Cumulative] - [Market Cumulative] + [Shortfall Cumulative Maximum So Far] Opening Stock = CALCULATE ( [Closing Stock], FILTER ( ALL ( Data[Time index] ), Data[Time index] = MIN ( Data[Time index] ) - 1 ) )
Anyway, this is just an example to illustrate it can be done :)
- Amdyn9 years agoNew MemberThank you for putting this together, I'll work through it and understand it before commenting properly.
Much appreciated! - Anonymous6 years agoNot applicable
Great approach. However, I see that the "back order" are shortshipped, therefore some orders (market) are lost and we have 65 units at the end. What do we need to change in the formulas to allow stock to be shipped at a later date when available ? (therefore end with a zero closing stock). Tks
- Vinod_P3 years agoHelper I
Awesome approach !!