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Message type: E = Error
Message class: MP - Forecast Nucleus
Message number: 702
Message text: Not enough historical values for initialization
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MP702
- Not enough historical values for initialization ?The SAP error message MP702 "Not enough historical values for initialization" typically occurs in the context of SAP's Production Planning (PP) or Material Requirements Planning (MRP) modules, particularly when dealing with forecasting or planning data. This error indicates that the system does not have sufficient historical data to perform the required calculations for initializing a forecast or planning run.
Cause:
Insufficient Historical Data: The most common cause of this error is that there are not enough historical data points available for the system to generate a forecast. This can happen if:
- The material has just been created and has no historical sales data.
- The historical data has been deleted or archived.
- The time period for which the historical data is required is not populated.
Configuration Issues: Incorrect settings in the forecasting or planning configuration can also lead to this error. For example, if the forecast model requires a certain number of historical periods but only a few are available.
Data Quality Issues: Missing or incorrect data entries in the historical records can also lead to this error.
Solution:
Check Historical Data: Ensure that there is sufficient historical data for the material in question. You can do this by:
- Reviewing the sales history for the material.
- Checking the time period settings in the forecasting configuration.
Adjust Forecasting Parameters: If the material is new or has limited historical data, consider adjusting the forecasting parameters to allow for fewer historical data points. This can be done in the forecasting settings.
Data Maintenance: If historical data is missing, you may need to input or restore the necessary data. This could involve:
- Manually entering historical sales data.
- Running a data recovery process if data has been archived or deleted.
Use Alternative Forecasting Methods: If the standard forecasting methods are not applicable due to lack of data, consider using alternative methods that require less historical data or are based on different algorithms.
Consult Documentation: Review SAP documentation or help resources for specific guidance on the forecasting model being used and its requirements.
Related Information:
MC.9
(Display Material Forecast) or MC.1
(Display Material Data) to check the historical data.If the problem persists after trying the above solutions, it may be beneficial to consult with your SAP support team or a technical consultant who can provide more in-depth analysis and assistance.
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