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Message type: E = Error
Message class: /SAPAPO/PFCS_MESS -
Message number: 072
Message text: Product/location &1/&2&3: No outlier correction possible
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/SAPAPO/PFCS_MESS072
- Product/location &1/&2&3: No outlier correction possible ?The SAP error message
/SAPAPO/PFCS_MESS072
indicates that there is an issue with outlier correction for a specific product/location combination in the SAP Advanced Planning and Optimization (APO) module. This error typically arises during the forecasting process when the system is unable to perform outlier correction due to certain conditions.Cause:
The error message can be triggered by several factors, including:
- Insufficient Data: There may not be enough historical data available for the product/location combination to perform a meaningful outlier correction.
- Data Quality Issues: The historical data may contain inconsistencies, such as missing values or extreme outliers that prevent the algorithm from functioning correctly.
- Configuration Issues: The settings for outlier detection and correction in the forecasting profile may not be properly configured.
- Statistical Model Limitations: The statistical model being used may not be suitable for the data characteristics of the product/location.
Solution:
To resolve the error, consider the following steps:
- Check Historical Data: Review the historical data for the product/location to ensure that there is sufficient data available for analysis. Look for any gaps or inconsistencies in the data.
- Data Cleansing: Clean the historical data by addressing any missing values or correcting extreme outliers that may skew the results.
- Review Configuration: Check the forecasting profile settings in SAP APO to ensure that the outlier detection and correction parameters are correctly configured. Adjust the settings if necessary.
- Change Statistical Model: If the current statistical model is not suitable, consider switching to a different model that may better fit the data characteristics.
- Consult Documentation: Refer to SAP documentation or help resources for specific guidelines on outlier correction and forecasting settings.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to enable outlier correction for the specified product/location combination.
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