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Each Day/Date one Machine capacity will count one time and Machine capacity will be for the Day/Date: capacity X 2.5
Example 01:
Date: 12/3/2025,
Machine BD04 run 6 times,
Machine BD04 capacity 400,
Machine Capacity for Date: 12/3/2025=400 X 2.5=1000 [What will be DAX???]
or
Example 02:
Date: 12/4/2025,
Machine BD02 run 4 times,
Machine BD02 capacity 320,
Machine Capacity for Date: 12/4/2025=320 X 2.5=800 [What will be DAX???]
Solved! Go to Solution.
Hi @Emranit
You can use a measure to virtually summarize a table then multiple virtual capacity column by 2.5, assuming there's only capacity value per day per machine.
Machine Capacity =
SUMX (
ADDCOLUMNS (
SUMMARIZE ( 'Table', 'Table'[Date], 'Table'[Machine Name], 'Table'[Capacity] ),
"@machine capacity", [Capacity] * 2.5
),
[@machine capacity]
)
Otherwise you'll need to calculate the max capacity per machine per day virtual before multiplying it by 2.5
Machine Capacity2 =
SUMX (
// Iterate over each unique Date–Machine combination
ADDCOLUMNS (
SUMMARIZE ( 'Table', 'Table'[Date], 'Table'[Machine Name] ),
// Add a computed column for capacity × 2.5
// CALCULATE is needed so MAX('Table'[Capacity]) is evaluated
// in the filter context of each Date–Machine row produced by SUMMARIZE.
"@machine capacity",
CALCULATE( MAX( 'Table'[Capacity] ) ) * 2.5
),
// Sum all values of the computed column
[@machine capacity]
)
Not working properly. I have got the solution. Thanks for your nice cooperation.
Hi @Emranit
You can use a measure to virtually summarize a table then multiple virtual capacity column by 2.5, assuming there's only capacity value per day per machine.
Machine Capacity =
SUMX (
ADDCOLUMNS (
SUMMARIZE ( 'Table', 'Table'[Date], 'Table'[Machine Name], 'Table'[Capacity] ),
"@machine capacity", [Capacity] * 2.5
),
[@machine capacity]
)
Otherwise you'll need to calculate the max capacity per machine per day virtual before multiplying it by 2.5
Machine Capacity2 =
SUMX (
// Iterate over each unique Date–Machine combination
ADDCOLUMNS (
SUMMARIZE ( 'Table', 'Table'[Date], 'Table'[Machine Name] ),
// Add a computed column for capacity × 2.5
// CALCULATE is needed so MAX('Table'[Capacity]) is evaluated
// in the filter context of each Date–Machine row produced by SUMMARIZE.
"@machine capacity",
CALCULATE( MAX( 'Table'[Capacity] ) ) * 2.5
),
// Sum all values of the computed column
[@machine capacity]
)
Not working properly. I have got the solution. Thanks for nice cooperation.
Hey @Emranit ,
Let's start with the simplest method and then add some complexity:
1. Assuming you will show this in a table visual by pulling in Date and Machine Name in the table as well, the following will simply work (replace the 'Table' with your Table name):
Not working properly. I have got the solution. Thanks for your nice cooperation.
Hi @Emranit , to solve the question, you can follow these steps :
Step 1 : Create a custom column
DAX
Daily Machine Capacity =
'Table'[Capacity] * 2.5
Step 2 : Create the measure
DAX
Total Daily Capacity =
SUMX(
SUMMARIZE(
'Table',
'Table'[Date],
'Table'[Machine Name],
"UniqueCap", MAX('Table'[Capacity])
),
[UniqueCap] * 2.5
)
This will compute the Sum for Unique Machine Capacities per Day
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Not working properly. I have got the solution. Thanks for your nice cooperation.
You can try this:
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