How To Fix /SAPAPO/SNPOPT277 - Run time limit reached: Feasible solution found

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/SNPOPT -

• Message number: 277

• Message text: Run time limit reached: Feasible solution found

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/SNPOPT277 - Run time limit reached: Feasible solution found ?

  The SAP error message /SAPAPO/SNPOPT277 Run time limit reached: Feasible solution found typically occurs in the context of SAP Advanced Planning and Optimization (APO) when running optimization algorithms, particularly in the Supply Network Planning (SNP) module. This message indicates that the optimization process has reached a predefined time limit before it could find an optimal solution, but it has found a feasible solution.
  Cause:
  
  Time Limit Configuration: The optimization run has a set time limit for execution. If the optimization process does not complete within this time frame, it will stop and return this message.
  Complexity of the Problem: The problem being solved may be too complex or large, leading to longer computation times.
  Insufficient Resources: The system may not have enough computational resources (CPU, memory) to handle the optimization within the time limit.
  Data Issues: There may be issues with the data being processed, such as inconsistencies or excessive volume, which can slow down the optimization process.
  
  Solution:
  
  Increase Time Limit: You can increase the time limit for the optimization run. This can be done in the SNP optimizer profile settings. Look for the parameter that controls the maximum runtime and adjust it accordingly.
  Optimize Model Complexity: Simplify the model if possible. This could involve reducing the number of products, locations, or constraints being considered in the optimization.
  Check System Resources: Ensure that the system has adequate resources. Monitor CPU and memory usage during the optimization run and consider upgrading hardware if necessary.
  Review Data Quality: Check the data being used in the optimization. Ensure that it is accurate, consistent, and not excessively large. Clean up any unnecessary data that may be complicating the optimization.
  Run in Background: If the optimization is being run in the foreground, consider running it in the background to allow for longer processing times without user interruption.
  Use Heuristics: If finding an optimal solution is not critical, consider using heuristic methods that may provide good enough solutions in a shorter time frame.
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any specific patches or updates related to this error message. SAP frequently releases updates that may address performance issues.
  Performance Tuning: Look into performance tuning options for the APO system, which may help improve the overall efficiency of the optimization runs.
  Documentation: Refer to the SAP APO documentation for detailed information on optimization settings and best practices.
  
  By addressing the above points, you should be able to mitigate the occurrence of this error and improve the performance of your optimization runs in SAP APO.