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Contributor II
Contributor II

How to Calculate RTY using FPY and Visualize the Data?


I am trying to calculate rolled throughput yield(RTY) using operational first pass yield(FPY) data for each work order and then calculate an average of the results per selected time period. I also need to report these values based on Time + Product. (TLDR at the end)

I found this  article and thanks to @sunny_talwar 's solution using "Exp(Sum(Aggr(Log([output]/(([output] + [scrap] + [rework] + [byprod]))), [workorder], [operation])))" i can calculate the FPY for each workorder, but there is one problem with the expression. If the output is 0 then the result is 1 because Log function only works if output > 0. I even tried adding an IF in the expression like this : "Exp(Sum(Aggr(IF([output] = 0, 0, Log([output]/([output] + [scrap] + [rework] + [byprod]))), [workorder], [operation])))" but it did not change the result.

A small sample of the raw data i am working with is like this;

A20050363302020-08-04 00:00:00.0001000
B20100275402020-08-04 00:00:00.0004000
B20100275432020-08-04 00:00:00.0003001
B201002751512020-08-04 00:00:00.0002000
B201002751512020-08-04 00:00:00.0001001
C20080575102020-08-04 00:00:00.0001000
C20080575302020-08-04 00:00:00.0001000
C20080689102020-08-04 00:00:00.0001000
C20080690102020-08-04 00:00:00.0001000
C20080690102020-08-04 00:00:00.0001000
C20080690102020-08-04 00:00:00.0000001
D20060872202020-08-04 00:00:00.0009000
D20060872602020-08-04 00:00:00.0009000
D20060872652020-08-04 00:00:00.0008001
D20060872802020-08-04 00:00:00.0007001
D200608721202020-08-04 00:00:00.0006000
D200608721332020-08-04 00:00:00.0003003
D200608721352020-08-04 00:00:00.0000003
D20080599102020-08-04 00:00:00.0002000


FPY for each work order should be like;



Now comes the part i am totally clueless about how to do. I am trying to visualize the data with a line chart that uses RTY average of workorders as a measure and time as dimension and another chart to show top 5 lowest FPY results for each product and operation combination per selected time period that users average of operation FPY weighted with operation input(output+rework+scrap+byprod) as a measure and product+operation combination and time as 2 dimensions. Both charts have Year, MonthName and Week Year as alternative dimensions so the report can be changed according to required time period.



I am trying to calculate RTY using "Exp(Sum(Aggr(Log([output]/(([output] + [scrap] + [rework] + [byprod]))), [workorder], [operation])))" but the result is 1 when output is 0, it should be 0.

I also need to calculate RTY for work order only and use that data to get average results for Time dimension. 


 Any input about the formulas or how to actually get the results i am trying would be appreciated.




10 Replies

Awesome @VolkanKu. I am glad you were able to get it resolved on your own.