Hierarchy
SAP_BW (Software Component) SAP Business Warehouse⤷
SCM-BAS (Application Component) SCM Basis⤷
/SAPAPO/SCMB_FORECAST (Package) Forecast
Basic Data
| Data Element | /SAPAPO/TSID |
| Short Description | Time Series ID |
Data Type
| Category of Dictionary Type | D | Domain |
| Type of Object Referenced | No Information | |
| Domain / Name of Reference Type | /SAPAPO/TSID | |
| Data Type | CHAR | Character String |
| Length | 22 | |
| Decimal Places | 0 | |
| Output Length | 22 | |
| Value Table | /SAPAPO/TIMESERI |
Further Characteristics
| Search Help: Name | ||
| Search Help: Parameters | ||
| Parameter ID | ||
| Default Component name | ||
| Change document | ||
| No Input History | ||
| Basic direction is set to LTR | ||
| No BIDI Filtering |
Field Label
| Length | Field Label | |
| Short | 10 | Tme Series |
| Medium | 15 | Time Series ID |
| Long | 20 | Time Series ID |
| Heading | 12 | Time Ser. ID |
Documentation
Weighting Profile in Univariate Forecasting: Definition
Contains weighting factors, in the form of percentages, for some or all of the historical values on which the forecast is based.
Weighting Profile in Univariate Forecasting: What To Do
If you are using forecast strategy 14 (weighted moving average), choose or create a weighting profile using F4 Help. Otherwise, leave this field blank.
Trend Dampening Profile in Univariate Forecasting: Definition
Allows you to account for a decrease in trend as the market reaches maturiy. The system cannot predict such a decrease on the basis of historical data. This profile specifies, per period, the percentage by which you want the trend to be dampened.
Trend Dampening Profile in Univariate Forecasting: What To Do
If you are using a trend or a seasonal trend model and wish the forecasted trend pattern to be dampened, enter a trend dampening profile. To choose or create a trend dampening profile, use F4 Help.
Historical Value Markings in Univariate Forecasting : Definition
Set of historical value markings that are applied to the historical input key figure. The markings indicate which of the historical values are to be included in the outlier correction function.The markings are saved on the database as a time series. If the marked values lie outside the tolerance lane, the system corrects them before carrying out the forecast.
Historical Value Markings in Univariate Forecasting : What To Do
If you make no entry in this field, all the historical values are included in the outlier calculation unless you mark the time series values in the Forecast view of interactive demand planning. Marking the time series values in the Forecast view of interactive demand planning is the recommended procedure. You can also create or change a set of historical value markings in the univariate forecast profile.
Weighting Profile in Composite Forecasting: Definition
Allows you to weight the contribution of this profile to the composite forecast differently for different periods.
Weighting Profile in Composite Forecasting: What To Do
To create a weighting profile, select Weighting profile at the bottom of the dialog box.
Weighting Profile in "Like" Modeling: Definition
Allows you to assign time-phased weightings to the different "like" products in the "like" profile.
Weighting Profile in "Like" Modeling: What To Do
To choose a weighting profile, use F4 Help. To create a weighting profile, go to the Weighting group field in the univariate forecast profile.
Time Series Variable for MLR: Definition
Contains values for an independent variable in the MLR model. The system uses the historical values to build the model. It uses the future values to run the forecast.
Time Series Variable for MLR: What To Do
Enter values for at least as many periods as are in the combined history and forecast horizons specified in the master profile. You must enter values for both the past and the future.
Phase-In Profile: Definition
A product's lifecycle consists of different phases: launch, growth, maturity, discontinuation. In Demand Planning, you can represent the launch, or phase-in, of a product using a phase-in profile.
A phase-in profile changes the demand history or demand forecast of a product by given percentages during a specified period or periods.
Your aim is to have the forecast mimick the upward sales curve that you expect the product to display during phase-in. You might achieve this with a phase-in profile that looks like this:
20 40 50 70 90
Alternatively, if you are basing the forecast on a "like" profile, you might adjust the historical data of the "like" product upwards to correct the downward trend in demand during the "like" product's discontinuation phase; for example:
120 150 180 190 200
Whether the profile changes the demand history or the demand forecast depends on the time range that is part of the phase-in profile definition. If the time range lies within the historical time horizon, the demand history is adjusted. If the time range lies within the future horizon, the demand forecast is adjusted.
Phase-In Profile: Dependencies
To have the system apply the phase-in profile, you must do the following in the master forecast profile:
- Select Material fcst.
- Define the basic settings of the phase-in profile (Goto -> Lifecycle profile -> Basic settings).
- Define the characteristic value combinations for which the phase-in profile can be used (Goto -> Lifecycle profile -> Assign). You can do lifecycle planning for other characteristic value combinations if you call this function in interactive demand planning; that is, this step is a prerequisite for mass processing only.
Phase-Out Profile: Definition
A product's lifecycle consists of different phases: launch, growth, maturity, and discontinuation. In Demand Planning, you can represent the discontinuation, or phase-out, of a product using a phase-out profile.
A phase-out profile changes the demand history or demand forecast of a product by given percentages during a specified period or periods.
Your aim is to have the forecast mimick the downward sales curve that you expect the product to display during phase-out. You might achieve this with a phase-out profile that looks like this:
90 70 50 40 20
Whether the profile changes the demand history or the demand forecast depends on the time range that is part of the phase-out profile definition. If the time range lies within the historical time horizon, the demand history is adjusted. If the time range lies within the future horizon, the demand forecast is adjusted.
Phase-Out Profile: Dependencies
To have the system apply the phase-out profile, you must do the following in the master forecast profile:
- Select Material fcst.
- Define the basic settings of the phase-out profile (Goto -> Lifecycle profile -> Basic settings).
- Define the characteristic value combinations for which the phase-out profile can be used (Goto -> Lifecycle profile -> Assign). You can do lifecycle planning for other characteristic value combinations if you call this function in interactive demand planning; that is, this step is a prerequisite for mass processing only.
History
| Last changed by/on | SAP | 20130604 |
| SAP Release Created in |
