Hi all: First time poster, long time lurker
I am using powerpivot to analyze production lot history. My columns are these:
Lot Number, Split, Major Step, Substep, Operator, DateTimeIn, DateTimeOut
The dataset has multiple lot numbers and split processed simultaneously, so analysis needs to be filtered for those contexts.
I can easily calculate the process time for each substep:
SubStepProcessTime := 1.0*(DateTimeOut-DateTimeIn)
I want to calculate the queue time for each substep, which is:
SubStepQueueTime := 1.0*(DateTimeIn (Current Row) - DateTimeOut (previous step))
I'm stumped.
One idea I had that I dont know how to implement: Is there some way to find the next most recent DateTimeOut less than the DateTimeIn(Current Row)?
Any ideas?
I am using powerpivot to analyze production lot history. My columns are these:
Lot Number, Split, Major Step, Substep, Operator, DateTimeIn, DateTimeOut
The dataset has multiple lot numbers and split processed simultaneously, so analysis needs to be filtered for those contexts.
I can easily calculate the process time for each substep:
SubStepProcessTime := 1.0*(DateTimeOut-DateTimeIn)
I want to calculate the queue time for each substep, which is:
SubStepQueueTime := 1.0*(DateTimeIn (Current Row) - DateTimeOut (previous step))
I'm stumped.
One idea I had that I dont know how to implement: Is there some way to find the next most recent DateTimeOut less than the DateTimeIn(Current Row)?
Any ideas?