apo demand planner

8/3/2019 APO Demand Planner

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APO200 Demand Planning - General


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O G


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APO200 D d Pl i G l


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APO200 Demand Planning General


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nEach characteristic value combination represents a planning object in Demand Planning.

From a technical point of v iew, each unique combination of characteristic values in each

dimension is represented by a key.



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In Demand Planning and Supply Network Planning, data is divided into planning areas, and

subdivided into versions. Consequently, the data that you save in planning version 1,

planning area 1 does not overwrite the data in planning version 1, planning area 2.

The planning area contains characteristics, and key figures for planning, and must be

initialized for every planning version.

A key figure is a numerical value that is either a quantity or a monetary amount; for example,

projected sales value in dollars or projected sales quantity in pallets.

Characteristics are the objects by which you aggregate, disaggregate and evaluate businessdata.

Key figure data can be read from different InfoCubes or time series objects.

Key figure planning data is stored in time series objects in the liveCache.

To save planning data in an InfoCube, create an extraction structure for the planning area,

and connect it to the InfoCube.

There are now only 6 characteristics ( in V 1.0 there was 13 !) and a lot of key figures.



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O 00 e a d a g Ge e a



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If you carry out the forecast at a high level, the historical data is automatically

aggregated.

For this reason, the forecast results of a forecast run at a high level (with the results

then disaggregated to detailed level) will differ from the results of a forecast run at

detailed level.

If you carry out the forecast in the background, you define the aggregation level for

forecasting in the mass processing job.

When you design your planning process, you need to consider what aggregation level

is meaningful from a forecasting perspective; for example do you want to forecast

individual products, product families or customer specific demands?



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Note: If you wish to see data for a specific Process Level only, you may select

the individual process name.



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Forecasting is a tool used to predict future activity based on specific criteria. The system reads

historical data and calculates values which it proposes as future data.

A forecasting method that creates accurate statistical forecasts for mature products, slow-moving

products and new products does not exist. Approaches that attempt to cover most of such demand

types are very complex and tend to be a "black box" for the planner. APO Demand Planning offers a

"toolbox" of all practical, proven forecasting methods. The system allows the planner to choose the

best method for a specific demand type.

You can create a statistical baseline forecast based on any key figure (such as invoiced sales) in

any version.

As a general rule, you run the forecast using the actual data that is stored in version 000 of the

InfoCube.

You can make further manual adjustments to the statistical forecast.

You can also carry out the forecast using a mass processing job.

If you do not have any historical data for a product (for example, because it is new), you can base

the forecast on the actuals of a like product or products. For this purpose, you define a like

profile in the product master.

To store multiple planning scenarios for the same products, use different planning versions. For

example, you might have three planning versions containing three alternative demand forecasts:one created using a time series model, one created using an MLR method and a third using a

composite model.



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A product's lifecycle consists of different phases: launch, growth, maturity and discontinuation. In

APO Demand Planning, you can represent the launch, growth and discontinuation phases by

using phase-in and phase-out profiles.

A phase-in profile increases demand history by ever increasing percentages during a specified

period or periods, thus mimicking the upward sales curve that you expect the product to display

during its launch and growth phases. The historical values that have been adjusted by the phase-

in profile are displayed and stored in the Original history and Corrected history key figures.

A phase-out profile reduces the demand forecast of a product by ever decreasing percentages

during a specified period or periods, thus mimicking the downward sales curve that you expect

the product to display during its discontinuation phase. The forecast results that have beenadjusted by the phase-out profile are displayed and stored in the Original forecast and Corrected

forecast key figures.

The prerequisite for lifecycle planning is the existence of a phase-in/phase-out profile in the

product/material master. Phase-in/out profiles are not location specific.



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The prerequisite for like modeling is the existence of a like profile in the product/material

master. Profiles are location specific.

Some products do not have enough historical data to provide the basis for a forecast. With a "like"

profile, you can create a forecast using the historical data of a product or products with similar

demand behavior. Use "like" profiles for new products and products with short lifecycles. The

historical data of the "like" product is written to the Original history and Corrected history key

figures.

For any product, you can use either a "like" profile, or a phase-in profile, or a phase-out profile, or

any combination of these. You must select the Material Fcst Indicator in the Master Forecast

Profile. You can run the forecast at the product level or a aggregate level.u NOTE: The like profile will only be applied at the level that you execute. In other words, you will not

see it at a different level.



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In APO Demand Planning, you plan promotions or other special events separately from the rest of

your forecast. Use Promotion Planning to record either one-time events or repeated events.

Examples of promotions include trade fairs, coupons, free-standing inserts, competitors' activities,

market intelligence, upward/downward economic trends.

The advantages of planning promotions separately are:

u You have the ability to compare the unpromoted forecast with the promoted forecast.

u You have the ability to correct sales history by deducting from it past promotions, thus obtainingunpromoted historical data for the baseline forecast.

u The processes of interactive planning and promotion planning can be kept completely separate. For

example, the sales force might do interactive planning while marketing is responsible for promotionplanning.

Promotional uplifts can be defined in units or percentages by promotion patterns. A promotion

pattern that occurred in the past can be automatically detected and recreated for future periods. Apromotion pattern can be archived in a promotion catalog; it can therefore be reused if a

promotion of the same type is repeated.



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Note:Any regeneration of the statistical forecast after changing the forecast model orparameters will cause all changes to be saved to the Master Forecast Profile, unless one

does either of the following:

1. Assigns a unique forecast profile, or

2. Clicks yellow Exit button and, when prompted to Save, selects No.



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Note: Clicking the radio button Save Assignment with Unique Forecast Profile creates aunique forecast profile with these forecast settings for this specific characteristic

combination only.

It is recommended that you choose Save Assignment with Unique Forecast Profile unless

you want your chosen forecast profile to apply to more than one selection.

Note: Clicking the radio button Save Assignment of Selection for Forecast Profile will save

these settings to the Master Forecast Profile. Additionally, this profile will be applied to

the current selection, which includes the generation of the baseline statistical forecast inthe monthly batch run.



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Concept slides = PowerPoint Presentation from ClassFAQ = Frequently Asked Questions



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Support Documents: The support documents include [Client System], service requestand printer information.

Ask a Question: Here you can ask general [Project] questions. Process and

transactional questions are submitted using the appropriate process team discussion

links in the left hand column of the screen.

Support [Project] [Client Portal]: Here is were you can find support information relating

to [Client Portal].

Training FAQs: These FAQs address how to questions that relate to training

requirements, passwords, SAP Gui, SAP access and SAP role assignments/issues.

Popular Topics: Here is where you can setup alerts to keep you informed on topics that

interest you.

Links: Here is where you can find helpful links to information relating to [Project] and SAP

information (e.g. [Project] announcements, news, terms/acronyms, SAP Glossary, SAP

Online Help, Commissionaire website, production services and [Client Portal]).

Support Center Telephone Numbers: Here is a list of support telephone numbers for

various regions. These number should only be contacted after referring to the [Project]

reference resources and the Power User/SME for your business unit.



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This Website is used forManaging SAP Access: Create, change or delete SAP accounts

Changes in security roles

Reset account passwords

Unlock accounts where a user has tried to logon incorrectly three or more times



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Enter your Network ID and [Learning Mgt. System] password.



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To view your enrollments, click on the enrollments link in the left hand column.http://URL



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Instructor notes discussion points NOTE: In the Content column, be sure to click the word Launch. If you click too low in

the column, the results will display and since the course was not completed a message

no results found will appear.

Depending on the screen resolution it may be necessary to scroll down or across to see

the buttons.

Refer to the website for the full document that can be accessed if further question arise.

http://URL



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Instructor notes discussion points NOTE: In the Action column, be sure to click the words Mark Complete. If you click too

high in the column, the order details will display.


the buttons.

Refer to the website for the full document that can be accessed if further question arise.

http://URL



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Instructor notes discussion points http://URL


the buttons.



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Set expectations regarding data being burned in the sandbox, as it is used for exercises.



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To access the class evaluation form on the [Project] Training Assistant Website, click onthe [Project] Course Evaluation link in the Survey section in the left-hand column of the

screen.

Click on the Respond to this Survey button.

Enter the class evaluation information.

Click on the Save and Close button.



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