How To Fix /SAPAPO/AMON_ALERTS449 - MLR using POS: MAPE upper limit exceeded

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/AMON_ALERTS -

• Message number: 449

• Message text: MLR using POS: MAPE upper limit exceeded

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/AMON_ALERTS449 - MLR using POS: MAPE upper limit exceeded ?

  The SAP error message /SAPAPO/AMON_ALERTS449 with the description "MLR using POS: MAPE upper limit exceeded" typically occurs in the context of SAP Advanced Planning and Optimization (APO), particularly in the context of demand planning and forecasting.
  Cause:
  This error indicates that the Mean Absolute Percentage Error (MAPE) for a particular forecast model has exceeded the predefined upper limit. MAPE is a measure of prediction accuracy in a forecasting method. When the MAPE exceeds the set threshold, it suggests that the forecast is not performing well, which can lead to issues in supply chain planning and inventory management.
  Solution:
  To resolve this issue, consider the following steps:
  
  
  Review Forecasting Models: Check the forecasting models being used. If the model is not suitable for the data, consider switching to a different model that may provide better accuracy.
  
  
  Adjust MAPE Threshold: If the current MAPE threshold is too strict for your business context, you may consider adjusting the upper limit for MAPE in the configuration settings. However, this should be done with caution, as it may mask underlying issues with the forecasting process.
  
  
  Data Quality Check: Ensure that the historical data used for forecasting is accurate and complete. Missing or erroneous data can significantly impact forecast accuracy.
  
  
  Analyze Historical Data: Look into the historical data patterns. If there are anomalies or trends that the current model cannot capture, consider using more advanced forecasting techniques or incorporating additional variables.
  
  
  Re-evaluate Demand Patterns: If there have been recent changes in demand patterns (e.g., seasonality, promotions, market changes), ensure that these are reflected in the forecasting model.
  
  
  Consult Documentation: Refer to SAP documentation or support notes related to this specific error message for additional insights and recommendations.
  
  
  Engage with SAP Support: If the issue persists, consider reaching out to SAP support for further assistance. They may provide patches or updates that can help resolve the issue.
  
  
  Related Information:
  
  MAPE Calculation: MAPE is calculated as the average of the absolute percentage errors of forecasts. It is expressed as a percentage and is used to measure the accuracy of a forecasting method.
  SAP APO Configuration: Familiarize yourself with the configuration settings in SAP APO related to forecasting and alerts. This includes settings for MAPE thresholds and other performance metrics.
  Training and Best Practices: Consider training for users involved in demand planning to ensure they understand how to interpret forecasting metrics and adjust models accordingly.
  
  By following these steps, you should be able to address the MLR using POS: MAPE upper limit exceeded error and improve the accuracy of your forecasting processes in SAP APO.