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Message type: E = Error
Message class: PR - Forecast: Help messages
Message number: 402
Message text: Forecast values will be negative
The historical time series and the current forecast model will produce
negative forecast results.
The forecast results will be shown in the system as 0.
You may find that you obtain more satisfactory forecast results by
choosing a different forecast model.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Error message extract from SAP system. Copyright SAP SE.
PR402
- Forecast values will be negative ?The SAP error message PR402, which states "Forecast values will be negative," typically occurs in the context of demand planning or forecasting within SAP's Advanced Planning and Optimization (APO) module or similar functionalities. This error indicates that the system has calculated forecast values that are less than zero, which is not permissible in most forecasting scenarios.
Causes:
- Negative Historical Data: If the historical sales data used for forecasting contains negative values, it can lead to negative forecast values.
- Incorrect Forecasting Parameters: The settings or parameters used for the forecasting model may not be appropriate, leading to unrealistic forecast calculations.
- Data Entry Errors: Manual entries in the master data or transaction data that are incorrect can result in negative forecasts.
- Seasonality and Trends: If the model is not correctly accounting for seasonality or trends, it may produce negative forecasts.
- Demand Planning Settings: The settings in the demand planning area, such as the forecast model or algorithm, may not be suitable for the data being analyzed.
Solutions:
- Review Historical Data: Check the historical sales data for any negative values and correct them if necessary. Ensure that the data is clean and accurate.
- Adjust Forecasting Parameters: Review and adjust the parameters of the forecasting model. Consider using a different forecasting method that is more suitable for the data.
- Data Validation: Implement data validation checks to prevent negative values from being entered in the first place.
- Modify Forecasting Model: If using a statistical model, consider changing the model type or adjusting the settings to better fit the data characteristics.
- Consult Documentation: Refer to SAP documentation or help resources for specific guidance on the forecasting model being used and how to configure it correctly.
- Use Constraints: If applicable, set constraints in the forecasting process to ensure that forecast values do not go below zero.
Related Information:
By addressing the underlying causes and implementing the suggested solutions, you should be able to resolve the PR402 error and generate valid forecast values.
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