Release 4.0A of Flexible Planning offers you the following new
Forecasting with corrected historical values
To base the forecast on previously
corrected historical values, and not on the original historical
values, set the Corrected values
indicator in the
profile . The system then calculates the forecast
results using the corrected historical values of the forecast
version that was last copied to, and is currently displaying in,
the planning table.
The period indicator on which you
base the forecast can be different than the storage periodicity.
You set the storage periodicity in Customizing by choosing
parameters of info structures and key figures . You
enter the forecast period in the Period
ind. field of the forecast profile.
Average number of days per forecast period
You can base the forecast on an
average number of days per period. For example, if your forecast
period is "month", you can run the forecast on the assumption that
the number of workdays in each month is 20 by entering "20" in the
No. days field of the forecast profile.
The system then:
a) Corrects the historical values
using this standard number of workdays.
b) Runs the forecast using the actual
number of workdays in the period. The system takes the actual
number of workdays in the period from the factory calendar.
If you do not have any historical
values for a material (for example, because it is new), you can
still run the forecast for this material by using the consumption
quantities of a "reference material." You define this reference
material in the material master record. You must also set the
Consumpn. indicator in the forecast
profile. This function is supported for level-by-level
Reorganization of the forecast
To delete one or more forecast
versions using mass processing, choose Planning ->
Mass processing -> Reorgan. forecast. This
function allows you to delete forecast versions in either Flexible
Planning or the material forecast.
In Flexible Planning, you delete
forecast versions in a particular planning version of the
information structure; moreover, you can opt to delete forecast
versions based on a particular forecast model (that is, a
particular combination of forecast parameters).
In Flexible Planning, you can also
delete individual forecast versions online in the planning table.
Do this via the pushbutton Versions in
the forecast dialog box.
No forecast versions
If you do not intend to work with
forecast versions, you can switch off the use of them by setting
the indicator Do not save to forecast DB
in Customizing (choose
parameters of info structures and key figures ). The
forecast results are then saved in the information structure but
not in the forecast database. Therefore, if you run the forecast
and copy the results to the planning table, any previous forecast
results are lost. The advantage of setting this indicator is that
you achieve performance improvements, especially when forecasting
in the background.
Automatic correction of outliers in historical data
To have the system automatically
correct outliers in the historical data on which the forecast is
based, you select Outlier control in the
forecast profile. The system calculates a tolerance lane for the
historical time series, based on the Sigma
factor. Historical data that lies outside the upper
or lower band of this tolerance lane is corrected so that it
corresponds to the upper or lower tolerance limit for that point in
The width of the tolerance lane for
outlier control is defined by the Sigma
factor . The smaller the sigma factor, the greater
the control. The default sigma factor is 1.0. SAP recommends that
you set a sigma factor of between 0.6 and 2.0.
If you run the forecast online,
historical data that has been automatically corrected by this
function is indicated in column "C" of the Forecast:
Historical Values dialog box.
Automatic correction of historical data online
Alternatively, you can automatically
correct historical data online, without having selected
Outlier control in the forecast profile.
To do this, select "C" for each historical value you want to
correct and choose Correct. The system
then calculates the average of all the corrected historical values
and displays it as the new corrected historical value.