on 08-04-2008 8:00 AM
Hi Friends,
Please tell me the definitions of Aggregations and Disaggregations and their utility in terms of APO Demand Planning.
Regards,
Ujwal Arora
Disagreegation - u can disagreegate the values to the lowest node depends upon the setting u do in Planning area...Ex.--North Region Sales Value is 100...u can disagreegate to Region Branches....Ex. Delhi/Noida i.e. 50/50...
Agregation is reverse of Disagreegation...
For more details....click on the following link...
http://help.sap.com/saphelp_scm50/helpdata/en/8f/9d6937089c2556e10000009b38f889/frameset.htm
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Aggregation is the automatic function by which key figure values on the lowest level of detail are summed at run time and displayed or planned on a high level; for example, if you display the forecasted demand for a region in the interactive planning table, what you see is the forecasted demand for all of the different sales channels, product families, brands, products, and customers in that region which the system has added together.
Disaggregation is the automatic function by which a key figure value on a high level is broken down to the detailed level; for example, if you forecast demand in a particular region, the system instantly splits up this number among the different sales channels, product families, brands, products, customers, and so on, in this region
Aggregation and disaggregation ensure a consistent planning approach throughout your organization. The sum of the details on the low level always equals the total on the high level. Key figure values are always saved at the lowest level of detail. If aggregates exist, the data is also saved on the aggregate level
For example you are having Product Group -- P
Having Product as P1, P2, P3
Your forecast data for month 092008 for product P1 is 200
P2 300
P3 500
Then forecast data for product group P is for month 092008 is 1000. This is aggregation
Proportional factors are one of the ways you can disaggregate data from an aggregate level to a detailed one. you must enter APODPDANT as the disaggregation key figure in planning area maintenance.With this function, you can derive the proportional factors from historical data or, occasionally, from past planning data
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