1. WHY THERE'S NO 9ALO and 9AMA AGGREGATE in 9ASNP02 planning area:
Not quite sure the reason. But we can do the aggregation in hierarchy.
2. WHY SAFETY STOCK IS TIME SERIRES KEY FIUGRE
safety stock kf does not exist in 9asnp02 planning area. if you want to use this functionality, add a custom safety stock kf, assign functiona 3003(safety stock) in the planning area. Most of cases, we use time-series key figure for safety stock planning. Because planner want to control the safety stock as demand changes. So, this is a time based scenario. It makes sense to use time series key figure. We maintain the qty or day's of supply and choose the safety stock calculation method in Lot size tab in Product/Location master.
We can also use order series key figure if only thing you want to do is to display safety stock as an order. You can barely do any planning on that.
3. check if there's any client implemented 9ARE aggreate, and the difference from resourse hierarchy.
On the functionality perspective, there's not much difference. Both function the same. Hierarchy has been used more often. Not many clients use 9ARE aggregate.
Maybe this has nothing to do with calculation levels. But more on data extraction reason. If we don't have this aggregate, and assign KF to it. We can't extact SNP data for it. So, you need to make sure if you want to extract SNP data in that aggregate level, you need to create them and assign KF to that aggregate.
4.check the following info how to maintain proportional factor manually
Manual Modification of the Proportional Factors
There are several reasons why you might maintain the proportional factors manually, for instance:
·You wish to revise the constant proportional factors you generated automatically; for example, to account for the sporadic demand of one product.
·You wish to enter the factors manually because you have no historical data on which to base the automatic generation process.
1.If you wish to use this function to change the automatically generated constant proportional factors, you have already generated the factors.
2.When creating the planning book, you selected Manual proportions maintenance. This indicator is to be found on the Planning book tab under Include standard functions.
3.In the planning book, you have created a data view containing only the key figure APODPDANT. (This is not absolutely necessary, but enables you to restrict the number of people permitted to change the proportional factors)
4.If necessary, you have assigned this planning book and data view to the demand planners who have the authority to change the proportional factors.
1.In interactive demand planning, the demand planner with the change authority opens the data view you created as a prerequisite.
2.Make a selection, for example, brand X.
3.In the header toolbar, choose Details for the characteristic you want to use as the detailed level. You now see, for example, all the products that belong to brand X.
4.In the workspace toolbar choose with the quick info text Absolute <=> Percentage.
The proportional factors are displayed as percentages. The sum of the details is automatically fixed.
5.Edit the proportional factors of the details as necessary.
6.Save the data.
If you wish to switch from an absolute to a percentage view for a key figure in order to change the key figure values, you must define this key figure as fixable. By choosing the icon with the quick info text Absolute <=> Percentage you automatically fix the aggregate (sum) level. For more information on how to fix a key figure, see Fixing Key Figure Values.
Copying Proportional Factors to Other Time Buckets
When manually editing proportional factors you can copy values from one time bucket to another.
1.Switch to the percentage view by choosing .
2.Select the detail values to be copied. You must leave at least one value unselected. The system automatically calculates this value so that the total is 100%. Choose with the quick info text Percentage values: Copy.
3.Goto to the target area and select the same detail values. Choose with the quick info text Percentage values: Insert. The data is copied.