Distribution Profile / Customer Specific Forecast Release
Hello All,
I have a small question about the distribution profiles in Demand Planning. We use MRP and VMI scenarios.
1. While using VMI, we release forecast from DP to SNP using a distribution profile for each location. We get the percentages based on the quarterly reports on what was actually shipped to the customer and we manually enter the percentage every three months.
Our planners do this manually for the locations today since we only have a bunch of customers through VMI.
2. For the rest of the customers, we use DP and MRP. We release the forecast to ECC using a distribution function that would equally divide the PIR by the total number of days and we see that in MDO4.
The concern now is that instead of dividing the forecast equally by the day, can we divide it by the percentages of forecast consumed by the customer like we do for VMI?
If so, rather than the planner entering the numbers in the distribution profile manually, is there an automated way such as an exit that would actomatically calcuate the percentage consumed by a specific location and update them in the distribution profile automatically. Thank you for your time.
Regards,
Rohit.
Hello Rohit,
You will need these BAdis -
BAdi Name : /SAPAPO/SDP_RELSPLIT
Description: Change period split profile when DP released to SNP.
BAdi Name - /SAPAPO/SDP_RELDATA
Description - Modification of Data During Release from DP to SNP - Orders
You can fetch Period Split Profile value from Freely-Definable Attribute(like AT101) Product-Location Master (Table Name : /SAPAPO/MATLOC) to use during Forecast Release process. is added in /SAPAPO/MATLOC table.
You can create commonly used pattern using distribution functions and mapped those to different Period Split profiles. Also you can map these PSPs to some kind of numeric digits/text to easily identify/remember period split profile names uniquely. These numeric digits can be set into Product-Location Master by either users or by using custom program.
This is just an idea, please think, you may improvise further to make it more purposeful for your scenario.
Example : Common distribution functions -
Month - 4 X 4 - 25% split into 4 Week on the Month
Month - 1F X 1 - 100% on 1st day of the Month
Month - 1L X 1 - 100% on last day of the month
Month - 2 X 4 - 50% split into 2nd and 3rd week of the Month and so on and so forth
Hope this will help.
Thank you
Satish Waghmare
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