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Message type: E = Error
Message class: /SAPAPO/PFCS_MESS -
Message number: 012
Message text: Product/Loc. &2/&3&4: Smoothing factor gamma (previously &1) was changed
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/SAPAPO/PFCS_MESS012
- Product/Loc. &2/&3&4: Smoothing factor gamma (previously &1) was changed ?The SAP error message
/SAPAPO/PFCS_MESS012
indicates that there has been a change in the smoothing factor gamma for a specific product/location combination in the SAP Advanced Planning and Optimization (APO) module. This message typically arises in the context of demand planning or forecasting when the system detects that the smoothing factor has been altered, which can affect the forecasting calculations.Cause:
- Change in Configuration: The smoothing factor gamma may have been manually changed in the configuration settings for the product/location.
- Data Uploads: If data is being uploaded from external sources or through batch jobs, the smoothing factor might have been updated as part of that process.
- Version Changes: Changes in the planning version or the application of a new planning strategy can also lead to modifications in the smoothing factor.
- User Actions: Users may have inadvertently changed the settings while trying to adjust other parameters.
Solution:
- Review Changes: Check the change logs or history for the product/location to identify when and why the smoothing factor was changed. This can help determine if the change was intentional or accidental.
- Revert Changes: If the change was not intended, revert the smoothing factor gamma to its previous value. This can typically be done in the configuration settings of the APO system.
- Consult Documentation: Review the documentation for the specific forecasting method being used to understand the implications of changing the smoothing factor.
- Testing: After making changes, run test forecasts to ensure that the new settings yield the desired results and do not negatively impact the planning process.
- User Training: If user error is a recurring issue, consider providing additional training or guidelines on how to properly manage forecasting parameters.
Related Information:
By following these steps, you should be able to address the error message and ensure that your forecasting processes remain effective.
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