cancel
Showing results for
Search instead for
Did you mean:
Frequent Visitor

## Dax solution required (or power query if that is more appropriate)

Hi all,

I need the help of the wizards in this forum to get a report in powerbi.

I download this data in excel from our ERP system on finished goods SKUs. There are few hundred SKUs.

The data up to column H is from the ERP system. The data starts from today's date to show the on hand stock today. It then goes on to show the stock consumption by customer orders and stock increase by production.

The type of demand is noted in column C and the stock amount consumed by demand or added by production is shown is column G.

The solutions are required for the below issues. I want to get the solution in DAX preferably. I want to run this report each Monday with fresh data from system. The spreadsheet has 100s of SKUs sorted by SKU code (column A) and date of activity of that SKU (column D). Column A to H will be from system and the columns I & J should be calculated column in DAX. I am open to get the solutions in measures as well or power query.

1. I used a sumifs formula in the 1st calculated column (column I) to calculate the available quantity after each addition/subtraction of stock (SUMIFS(G\$2:G2,A\$2:A2,\$A2)). What formula to use in DAX to get this calculated?

2. The 2nd problem is with 2nd calculated column (column J). I want to run a formula that will be blank if we have stock today and "OOS now" if we have zero or negative stock today. It is easy to complete this formula alone, but could not find out how to combine with the next set of problems.

3. If we go out of stock in future before next production or between two productions, I want the column to say "POOS before Prod" (potential out of stock). This requires looking at the available Qty column (column I) and Rec/reqd quantity (column G)

4. If we have no planned production for this SKU, I want the formula to say "POOS & no Prod Planned". Again the formula needs to look in the negative values of column I and if there are any receipts in column G.

Any suggestion will be greatly appreciated.

 A B C D G I J Material Material Description MRP element Planned dates Rec./reqd quantity Available Qty Issues 10007 Product 1 Stock 26/05/2021 3,960 3,960 10007 Product 1 Demand 28/05/2021 -                          1,512 2,448 10007 Product 1 Demand 27/08/2021 -                          1,512 936 10007 Product 1 Demand 27/10/2021 -                          1,512 -                576 POOS before Prod 10007 Product 1 PldOrd 29/10/2021 6,048 5,472 Production 10017 Product 2 Stock 26/05/2021 - - OOS now 10017 Product 2 Demand 28/05/2021 -                        12,096 -          12,096 POOS before Prod 10017 Product 2 PrcOrd 1/06/2021 12,096 - Prod 10017 Product 2 Demand 27/09/2021 -                        12,096 -          12,096 POOS before Prod 10017 Product 2 PldOrd 29/10/2021 12,096 - Prod 10020 Product 3 Stock 26/05/2021 5,000 5,000 10020 Product 3 Demand 28/05/2021 -                        12,096 -            7,096 POOS & no Prod Planned 10020 Product 3 Demand 1/06/2021 -                        12,096 -          19,192 POOS & no Prod Planned 10020 Product 3 Demand 27/09/2021 -                        12,096 -          31,288 POOS & no Prod Planned 10020 Product 3 Demand 29/10/2021 -                        12,096 -          43,384 POOS & no Prod Planned
1 ACCEPTED SOLUTION
Super User

Hi @saad_mce ,

Add the following two columns to your model:

``````Available Qty =
CALCULATE (
SUM ( 'Table'[Rec./reqd quantity] ),
FILTER (
ALL ( 'Table' ),
'Table'[Planned dates] <= EARLIER ( 'Table'[Planned dates] )
&& 'Table'[Material] = EARLIER ( 'Table'[Material] )
)
)``````

``````Issues =
VAR nextproduction =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Material] = EARLIER ( 'Table'[Material] )
&& 'Table'[Planned dates] >= EARLIER ( 'Table'[Planned dates] )
&& 'Table'[MRP element] IN { "PldOrd", "PrcOrd" }
),
'Table'[Rec./reqd quantity]
)
RETURN
SWITCH (
TRUE (),
'Table'[MRP element] IN { "PldOrd", "PrcOrd" }, "Production",
'Table'[Available Qty] > 0, BLANK (),
'Table'[Rec./reqd quantity] = 0, "OSS Now",
nextproduction > 0, "POOS before Prod",
"Poos & no Prod Planned"
)``````

See PBIX file attach.

Regards

Miguel Félix

Did I answer your question? Mark my post as a solution!

Proud to be a Super User!

Check out my blog: Power BI em Português

2 REPLIES 2
Frequent Visitor

Thank you Miguel. Great solution.

Super User

Hi @saad_mce ,

Add the following two columns to your model:

``````Available Qty =
CALCULATE (
SUM ( 'Table'[Rec./reqd quantity] ),
FILTER (
ALL ( 'Table' ),
'Table'[Planned dates] <= EARLIER ( 'Table'[Planned dates] )
&& 'Table'[Material] = EARLIER ( 'Table'[Material] )
)
)``````

``````Issues =
VAR nextproduction =
MAXX (
FILTER (
ALL ( 'Table' ),
'Table'[Material] = EARLIER ( 'Table'[Material] )
&& 'Table'[Planned dates] >= EARLIER ( 'Table'[Planned dates] )
&& 'Table'[MRP element] IN { "PldOrd", "PrcOrd" }
),
'Table'[Rec./reqd quantity]
)
RETURN
SWITCH (
TRUE (),
'Table'[MRP element] IN { "PldOrd", "PrcOrd" }, "Production",
'Table'[Available Qty] > 0, BLANK (),
'Table'[Rec./reqd quantity] = 0, "OSS Now",
nextproduction > 0, "POOS before Prod",
"Poos & no Prod Planned"
)``````

See PBIX file attach.

Regards

Miguel Félix

Did I answer your question? Mark my post as a solution!

Proud to be a Super User!

Check out my blog: Power BI em Português

## Helpful resources

Announcements

#### Check it out!

Click here to read more about the June 2022 updates!

#### Join us for Microsoft Power Platform Conference

The first Microsoft-sponsored Power Platform Conference is coming in September. 100+ speakers, 150+ sessions, and what's new and next for Power Platform.

#### Check it Out!

Mark your calendars and join us on Thursday, June 30 at 11a PDT for a great session with Ted Pattison!

#### The Power BI Community Show

Join us on June 20 at 11 am PDT when Kim Manis shares the latest on Azure Synapse analytics, the Microsoft Intelligent Data Platform, and notable Power BI Updates from Microsoft Build 2022.

Top Solution Authors
Top Kudoed Authors