Hi Team pls help this dax measure (day at port)

[tkavitha911]

I have two tables: the first contains the columns Market, Max ETA Date, and Predicted Delivery Date; the second contains Capacity and Market. I need to calculate the difference between Max ETA Date and Predicted Delivery Date for each market. If the difference exceeds the capacity, the delivery should be scheduled for the next day

[v-priyankata]

Hi @tkavitha911 
I hope this information is helpful. Please let me know if you have any further questions or if you'd like to discuss this further. If this answers your question, please Accept it as a solution and give it a 'Kudos' so others can find it easily.
Thank you.

[v-priyankata]

Hi @tkavitha911 
I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions. If my response has addressed your query, please accept it as a solution and give a 'Kudos' so other members can easily find it.
Thank you.

[v-priyankata]

Hi @tkavitha911 

May I ask if you have resolved this issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.

Thank you.

[techies · Accepted solution]

Hi @tkavitha911 please try this calculated column

Adjusted Delivery Status =

VAR DiffDays =

    DATEDIFF(

        'ETA_Dates'[Predicted_Delivery_Date],

        'ETA_Dates'[Max_ETA_Date],

        DAY

    )

VAR CapacityDays =

    RELATED('Market_Capacity'[Capacity (Days)])

RETURN

IF(DiffDays > CapacityDays, "Schedule Next Day", "On Time")

[Cookistador]

Hi @tkavitha911 

Can you try to create a new column with following measure

Adjusted Delivery Date =
VAR predictedDeliveryDate = 'Table 1'[Predicted Delivery Date]
VAR maxEtaDate = 'Table 1'[Max ETA Date]
VAR marketCapacity = RELATED('Table 2'[Capacity])
VAR differenceInDays = DATEDIFF(predictedDeliveryDate, maxEtaDate, DAY)

RETURN
IF(
differenceInDays > marketCapacity,
predictedDeliveryDate + 1, 
predictedDeliveryDate 
)

If it is not what you are trying to achieve, can you give us more details like an excel sample of what you are trying to achieve ?

[tkavitha911]

Not working pls fix this dax im getting The following syntax error occurred during parsing: Invalid token, Line 4, Offset 2,  .

Adjusted Delivery Status =

VAR currentDate = SELECTEDVALUE('DateTable'[Date])

VAR deliveriesOnDate =

    FILTER(

        'Inbound_Query',

        'Inbound_Query'[Max of ETA] = currentDate

    )

VAR result =

    ADDCOLUMNS(

        deliveriesOnDate,

        "DiffDays", DATEDIFF('Inbound_Query'[Predicted_Delivery_Date], 'Inbound_Query'[Max of ETA], DAY),

        "Capacity", RELATED('Inbound_Query'[Capacity])

    )

VAR flagged =

    FILTER(

        result,

        [DiffDays] > [Capacity]

    )

RETURN

IF(COUNTROWS(flagged) > 0, "Schedule Next Day", "On Time")

[tkavitha911]

This is the daily data at the port, but since the dates are not continuous, I created a separate dates table. I need help writing a DAX measure to calculate the difference between the Max ETA Date and the Predicted Delivery Date for each market. If the difference exceeds the capacity, the delivery should be scheduled for the next day.

The expression will be: (Max ETA Date - Predicted Delivery Date). If the difference exceeds the available capacity, the remaining quantity should be carried over to the next day, and this cycle should continue until all deliveries are scheduled.

Market	Max of eta	Predicted_Delivery_Date	Max of eta	Capacity
Japan	01-02-2024'	04-01-1900	12-10-2024	2
Japan	01-02-2024'	04-01-1900	10-03-2025	2
Philippines	01-02-2024'	04-01-1900	10-04-2025	9
Vietnam	01-02-2024'	04-01-1900	04-10-2024	2
Taiwan	01-02-2024'	04-01-1900	19-04-2025	6
Thailand	01-02-2024'	04-01-1900	01-03-2025	7
Australia	01-02-2024'	04-01-1900	08-02-2025	6
China	01-02-2024'	04-01-1900	30-03-2025	8
Shenzhen	01-02-2024'	04-01-1900	23-03-2025	4
Korea	01-02-2024'	04-01-1900	29-11-2024	10
Vietnam	01-02-2024'	04-01-1900	21-03-2025	2
China	01-02-2024'	04-01-1900	21-03-2025	8
Japan	02-02-2024	04-01-1900	21-03-2025	2
Japan	03-02-2024	04-01-1900	21-03-2025	2
Philippines	04-02-2024	04-01-1900	21-03-2025	9
Vietnam	05-02-2024	04-01-1900	21-03-2025	2
Taiwan	02-02-2024	04-01-1900	04-04-2025	6
Thailand	03-02-2024	04-01-1900	04-04-2025	7
Australia	04-02-2024	04-01-1900	04-04-2025	6
China	05-02-2024	04-01-1900	30-03-2025	8
Shenzhen	06-02-2024	04-01-1900	04-04-2025	4
Korea	07-02-2024	04-01-1900	03-05-2025	10
Vietnam	08-02-2024	04-01-1900	21-08-2024	2
China	09-02-2024	04-01-1900	21-08-2024	8