Use of Forecast Horizon in CTM Run

Hello all,
Our requirement is - CTM Run should consider 'Forecast Horizon' (as mentioned in Product Master) while creating PReqs from Demands (FC - Planned Independent Requirements).
As this functionality is not provided in standard SAP, we need to implement some BADI.
Please provide the soultion - if anyone has already implemented the same - i.e. which BADI is usefull and how to go with that.
Thanks a lot in advance.
Best Regards,

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Similar Messages

Forecast Horizon issue

Dear Experts,
Please share your experience in using the Forecast Horizon field under SNP2 tab in product master (MAT1) in APO. Apparently in our case, the Forecast (FA) covered by the defined forecast horizon is being deleted. Questions are:
1. What is the triggering point of the deletion of the forecast? Upon SNP heuristics, or CIFed sales order - forecast consumption or other else?
2. Impact of this behavior in SNP point of view?
Looking at help (F1) of Forecast Horizon, it's not being explicitly being said the after effect/result in the Forecast key figure and only the Total Demand is being explained.
Looking forward for your usual help on this.
Thanks and best regards,
AA

Hi,
well this is done via macros in SNP dataview. The forecast horizon is a period for which forecasts should not be considered hence SNP heuristic will not plan this demand for the forecast horizon.
Also the /SAPAPO/OM_REORG_DAILY report will consider them as consumed and will change the forecast with a quantity of 0. You might still see this orders in product view if you display orders with 0 quantity.
Best regards,
Cyrille.

CTM run in APO

Dear All,
I am learning APO.I can do the
DP & SNP (Network ,Multilevel)
heuristics Runs on APO 3.1 very well.
I would like to know how to Run CTM ? What is CTM? and most important what are the settings required for CTM run in APO?
Can anybody help & guide me.
I am awaiting for your valuable answer.Many thanks in advance.
Warm Regards,
Vishwesh Rajguru

Waht is CTM
Capable-to-Match (CTM) functions match a large set of
prioritized customer demands and forecasts to a set of
categorized supplies considering the current production
capacities and transportation capabilities in a multistage
production environment, as in the semiconductor
industry. CTM is based on constraint-based propagation
techniques and goal-oriented programming.
Preprocessing tools provide a set of categorized supplies
and prioritized demands as input to the CTM Engine,
which then performs a fast check of production
capacities while considering transportation capabilities.
Prioritize by Demand
CTM prioritizes demands, such as customer orders
or forecasts from SAP APO Demand Planning, based
on such characteristics as customer priority, location,
and product priority.
Supply Categorization
CTM performs supply categorization based on the
available supply and user-defined inventory limits, such
as amount of inventory or planned deliveries.
CTM Engine
The CTM engine delivers the functions you need to
control supply and demand. The CTM engine process
can be divided into two steps. In the first step, the
CTM engine builds the CTM application model using
the specified supply network model. In a second phase,
the CTM engine matches demand to supply considering
production capacities and transportation capabilities
and using constraint-based propagation. CTM searches
before production and after production.
In before production searches (or most to least), the
system first searches through all supply categories for
finished or semifinished products before it resorts to
ordering production for that item. The search is
conducted top down. The system first searches the
production process model for finished products, then
intermediate products, then raw materials.
In after production searches (or least to most), the
system searches for categories after an attempt is made
to produce the item.
Time-Dependent Production Processes
You can define different production processes,
including product flow, for different time intervals. The
CTM engine chooses only production processes that
are valid at the representative time.
Model Alternative Components
You can implicitly model alternative components by
annotating a list of alternatives within the bill of
material, or you can model alternative components
explicitly by defining a set of product substitutions for
a given product.
Identification of Raw Material
A special product category identifies material that is
available in an infinite quantity. But for the consumption
of this product, a purchase requisition must be
created.
Process Flows Based on Demand
You must select a specific process flow based on the
set of characteristics of a given demand. For a planning
process that covers several physical plants, you must
be able to restrict the production and distribution
network to a set of allowed plants. In addition, the
CTM engine can handle the plant substitution rules of
SAP APOs Global ATP component.
Product Substitution Rules
CTM considers a set of demand characteristics for each
product and a prioritized list of substitute products
using Global ATP rules.
Customization/Settings
Global customizing settings
The package size is the key parameter that can improve the performance if you are using the asynchronous liveCache (LC) update.
In asynchronous update the system creates the orders in the LC after planning the specified number of demands. At the same time, the system continues with the CTM planning for the other demands.
The performance depends on the amount of planned orders that are created per demand.
If you set up a package size of 1000 demands, this means that each 1000 demands CTM writes the results to the LC. If there are only 1000 planned orders created for fulfilling these 1000 demands then the package size is too small for an asynchronous run with a good performance because the CTM run needs to stop each 1000 planned orders for triggering the LC writing. This increases then the run time. In case there are 100.000 planned orders created then the package size is too big because the CTM run for creating these 100.000 planned orders needs probably longer than the parallel writing of the results to the LC.
So the optimal package size makes the planning and writing to LC almost parallel.
Apart from the package size of the asynchronous LC writing, there are three more areas where packages must be defined.
- Package Size for Creating Orders. The value indicates how many orders can be created in the LC at one time.
- Package Size for Creating Pegging Relationships. The value indicates how many pegging relationships can be created in the LC at one time.
- Package Size for Order Selection. The value indicates for how many location products a LC request can be started at one time (package size for reading orders from LC in a way that CTM can use them for planning).
It is difficult to give recommendations regarding these package sizes because one needs to play around in a specific situation to improve the performance. So consider the following values as an orientation.
Regarding the package size of the Order Creation a value smaller than 1000 can be recommended (default value is 500 orders), but also a value up to 5000 can be efficient. In case of performance issues it is recommended to run CTM with different package sizes : 500, 1000, 2500, 5000 and see whether one of these settings can improve the performance.
Regarding the package size for Creating Pegging Relationships a value bigger than 1000 is recommended. The default value is 5000 pegging relationships.
The setting for the Order Selection is based on location-products, which implies that if the setting is currently 5000, CTM reads the orders for the first 5000 location-products and sends them in one package from the LC. If the average amount of orders per location-products combination is 10 (each location-product has in average 10 orders) the result is 50.000 orders transferred in the package.
As this setting depends on the amount of orders existing per location-product, one needs to play again with different settings in case of performance issues. Generally it is recommended to have a value smaller than 10.000.
3) Planning profile (business improvements)
Apart from the customizing settings, the performance depends on many other criteria like the Master Data Selection, Order Selection, Selected Demands, Planning Period, Product-Location restrictions.
If you want to improve the performance you should create a master data selection which contains only the objects in the model which are actively planned by the CTM run.
You can check whether it is possible to divide your supply chain in separate independent model parts. This covers a big performance improvement potential because the independent parts of the chain can be planned in parallel.
Then the order selection, especially the size and data requirements, is one of the major areas where you can improve the performance.
During the deletion of orders in a CTM planning run, several checks that are not always required are run. The parameter 'FAST_DEL' skips some checks of the normal planning run to improve the planning run time. The parameter is activated if you set Value1 of the planning parameter to X. In this case, no information is analysed on pegging, input or output nodes during order selection. Therefore, the parameter can only be reasonably used with the planning mode "Regenerative planning" (Replan all Orders) and the deletion mode "All unfirmed orders" (Delete all Orders that are not firmed). Note that in this case, only the status and the type of the order are analyzed for the deletion decision. This means that all planned orders or purchase requisitions are deleted, if they were not firmed manually (Output fix) and contain at least one location product that is contained in the CTM master data selection. This parameter must not be used if you use a subcontracting scenario. In this case, inconsistencies can occur between the data in APO and the R/3 System because subcontracting purchase requisitions are deleted but not the subcontractor planned order at the subcontractor side.
Notice that since release SCM 4.0 the parameter 'FAST_DEL' is obsolete and has been replaced with the planning step (Technical Settings tab) End Planning Run after Oder Selection in combination with Do Not Check Order Details.
CTM run time depends on the number of demands. Consequently if your business need for CTM does not require all demands simultaneously, you can perform CTM runs using a demand selection. You can cut down on run time if you can first reduce the amount of demands considered in the planning run.
Another factor to take into account is the planning period set for the CTM profile. You can implement a horizon in the work area which includes only those demands that can be planned during the horizon of the CTM run. That is, exclude any periods containing demands which cannot be planned.
Consider also whether you can meet your business requirements by restricting your demands by product-location. You can experience long run times because in a large supply chain you do not restrict the demands by product-location combination.

Forecast horizon in deployment

Dear All,
We have requirement deployment run should not consider the forecast horizon maintained in APO material master whereas SAP Std behaviour will consider it. (it will not be considered only in deployment optimizer as per std). We are planning for a custom development to meet this requirement. Need your inputs on way to forward for various strategies on custom development to achieve this scenario.
Appreciate your support, thanks in advance
Regards
R. Senthil Mareeswaran.

Hi Senthil,
I guess I didnt get the issue here. I mean you maintain forecast horizon to plan only based on confirmed customer orders or any dependent demand in the short term. So, you dont consider forecast as a part of your total demand by maintaining a forecast horizon.
Eventually SNP heuristic/Optimizer will not plan any supply (distribution receipt) for the forecast demand inside this horizon. So, deployment will not create any supply confirmation for this forecast as well.
Now if you dont want this to happen, then simply remove the forecast horizon from the loc-product master! Am I missing something?
Anyway some thought here-
you can define a new custom macro to calculate the total demand as per your requirement. Or you can use a custom macro to calculate your total ATD receipt or ATD issue quantity as per your client's needs (considering/not considering the forecast horizon).
Finally take your deployment run.
Thanks,
Satyajit

APO DP - use of forecast strategy 60 (copy history)

I am using APO DP V5.
I need to understand how forecast strategy 60 (copy history) works.
Suppose I have a three year forecast horizon.
Can I use this to copy from last year's history into <u>each</u> of these 3 years?
Thanks,
Bob Austin, Atos Origin

Hi Bob.
The answer to your question is no. 12 months of history will only generate 12 months of forecast.
I would suggest that if this was a requirement then a macro could be used to generate such a forecast.
Hope this helps.
Mark

CIF Blocking for SNP CTM Run

Hi Folks,
We are implementing CTM solution for a HTDM client. It is the same APO instance where one company is already live on APO and CTM runs are taken on Sunday, Monday, Tuesday, Thursday and Friday on a weekly basis. Now for this new company implementation, we need CTM run to happen everyday at end of the day. Since the client is in USA, we can't have CTM run till 9PM EST since there are end users in west coast as well. But due to busness requirements, we need to complete the CTM runs and publish orders by 8PM EST. No comromise possible on this
Here is the critical issue. CTM run requires CIF Qs to be blocked during the run time. When we run CTM for company 2, if the CIF Qs are blocked, company 1 will face issues since their business is on else where. Is there a way to run CTM and block CIF Qs only for company 2? It is possible for data transfer block from APO to ECC but what we are concerned is to block ECC to APO data for company 2 only. If this can be achieved, the issue of conflict with CTM runs gets resolved.
Has anyone faced this issue or is aware of a solution to this problem? Kindly reply back.
Thanks,
Chandra

Hi Chandra
Does the customer use same client for both company ?
If yes, is there any relation between the data of company 1 and company 2 ?
(Same location products are used ?)
If the data is related, it is better to lock CIF queue.
(Since incoming data can have influence on running CTM
as described in Note 487261 / 528913).
But if the data is not related (different location products are processed,
I think you do not need to block CIF queue from ECC to APO).
best regards
Keiji

Table for Demands and Supplies after CTM run

Hi Gurus,
I want to get number of demands and supplies after CTM run .
I can see these details from opt11 . But i want to use these data points further for a custom developments .
So please let me know , in which table these entries sit ? There has to be a standard table for the same .
Regards
Bhupendra

Vikas,
You can also improve changing the data points in CTM global setting /SAPAPO/CTMCUST...
Enable check box : Asynchronous Update and Define appropriate Packet Size and also update
Package Size for Creating Orders
Package Size for Creating Pegging Rels
Package Size for Order Selection
Below example illustrates the improved performance by enabling check box : Asynchronous Update and Define appropriate Packet Size
If you set the indicator, CTM first plans the number of demands
specified in the Package size field. Then the system creates the
corresponding orders in the liveCache. At the same time, CTM continues
with the planning for the remaining demands.
If you do not set the indicator, the system first plans all demands and
then creates the orders in the liveCache.
Example
You want to use the asynchronous liveCache update for 20000 demands.
Enter 1000 as the package size. The system attempts to fulfill the first
1000 demands. The orders for these demands are created in the liveCache,
whilst CTM planning continues for the remaining 19000 demands."
We had similar issue and CTM performance improved significantly after updating the above setting.
Thukral

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Use of Forecast Horizon in CTM Run

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