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Message type: E = Error
Message class: /SAPAPO/PFCS_MESS -
Message number: 074
Message text: Product/location &1/&2&3: No standard deviation in past exists
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/SAPAPO/PFCS_MESS074
- Product/location &1/&2&3: No standard deviation in past exists ?The SAP error message
/SAPAPO/PFCS_MESS074
indicates that there is no standard deviation data available for the specified product/location combination in the past. This error typically arises in the context of demand planning or forecasting within the SAP Advanced Planning and Optimization (APO) module.Cause:
- Lack of Historical Data: The most common cause of this error is that there is insufficient historical data for the product/location combination. Standard deviation calculations require historical demand data to compute variability.
- Data Not Loaded: The relevant historical data may not have been loaded into the system, or the data may have been deleted or not maintained properly.
- Incorrect Configuration: The configuration settings for the forecasting model may not be set up correctly, leading to issues in calculating standard deviation.
- Time Period Issues: The time period for which the standard deviation is being calculated may not have any data points.
Solution:
- Check Historical Data: Verify that there is sufficient historical demand data for the product/location combination. You can do this by checking the relevant InfoObjects in the SAP APO system.
- Data Loading: If historical data is missing, ensure that the data is loaded correctly from the source system (e.g., SAP ERP) into the APO system. This may involve running the data transfer processes or checking the data extraction settings.
- Review Forecasting Settings: Check the forecasting model and settings to ensure they are configured correctly. This includes reviewing the key figures and planning levels.
- Adjust Time Period: If the time period for which you are trying to calculate the standard deviation does not have data, consider adjusting the time frame to include periods with historical data.
- Use Alternative Methods: If standard deviation cannot be calculated due to lack of data, consider using alternative forecasting methods that do not rely on standard deviation.
Related Information:
/SAPAPO/MC62
(for demand planning) to analyze the data and settings related to the product/location.By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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