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Message type: E = Error
Message class: /SAPAPO/PP_OPTIMIZER -
Message number: 277
Message text: Run time limit reached: Feasible solution found
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/SAPAPO/PP_OPTIMIZER277
- Run time limit reached: Feasible solution found ?The SAP error message
/SAPAPO/PP_OPTIMIZER277
indicates that the runtime limit for the optimizer has been reached while trying to find a feasible solution. This typically occurs in the context of the SAP Advanced Planning and Optimization (APO) module, particularly when running the PP/DS (Production Planning and Detailed Scheduling) optimizer.Cause:
- Runtime Limit: The optimizer has a predefined runtime limit, which is set to prevent excessively long processing times. If the optimizer cannot find a feasible solution within this time frame, it will terminate and return this error.
- Complexity of the Problem: The planning problem may be too complex, involving a large number of constraints, resources, or products, which can lead to longer processing times.
- Insufficient Resources: The system may not have enough computational resources (CPU, memory) to handle the optimization problem efficiently.
- Configuration Issues: Incorrect or suboptimal configuration settings for the optimizer can lead to inefficiencies in finding a solution.
Solution:
- Increase Runtime Limit: You can increase the runtime limit for the optimizer. This can be done in the optimizer profile settings. Look for the parameter that controls the maximum runtime and adjust it accordingly.
- Transaction Code:
/SAPAPO/OPTIMIZER
to access the optimizer settings.- Simplify the Problem: If possible, simplify the planning problem by reducing the number of constraints or the size of the data set being processed.
- Optimize Configuration: Review and optimize the configuration settings for the optimizer. Ensure that the settings are appropriate for the specific planning scenario.
- Check System Resources: Monitor the system resources during the optimization run. If the system is under heavy load, consider running the optimizer during off-peak hours or upgrading the hardware.
- Use Alternative Algorithms: If the problem persists, consider using alternative optimization algorithms or heuristics that may be more efficient for your specific scenario.
- Review Logs: Check the optimizer logs for additional details about the failure. This may provide insights into specific constraints or issues that are causing the runtime limit to be reached.
Related Information:
By following these steps, you should be able to address the /SAPAPO/PP_OPTIMIZER277
error and improve the performance of your optimization runs.
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