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Message type: E = Error
Message class: /SAPAPO/SNPOPT -
Message number: 421
Message text: CPU time limit reached
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/SAPAPO/SNPOPT421
- CPU time limit reached ?The SAP error message
/SAPAPO/SNPOPT421 CPU time limit reached
typically occurs in the context of SAP Advanced Planning and Optimization (APO) when a planning run exceeds the allowed CPU time limit. This can happen during optimization runs, heuristics, or other planning processes that require significant computational resources.Cause:
- Complexity of the Problem: The planning problem may be too complex, involving a large number of variables, constraints, or data points, which can lead to excessive CPU time consumption.
- Insufficient System Resources: The system may not have enough CPU resources allocated to handle the planning task efficiently.
- Inefficient Algorithms: The algorithms used for optimization may not be well-suited for the specific problem, leading to longer processing times.
- Data Volume: Large datasets can significantly increase processing time, especially if the data is not optimized or indexed properly.
Solution:
- Increase CPU Time Limit: You can increase the CPU time limit for the planning run. This can be done by adjusting the relevant parameters in the SAP system configuration. The parameter
RSCONN01
can be adjusted to allow for longer processing times.- Optimize the Planning Model: Review and optimize the planning model to reduce complexity. This may involve simplifying constraints, reducing the number of variables, or breaking down the planning problem into smaller, more manageable parts.
- Improve System Resources: Ensure that the SAP system has adequate CPU and memory resources. This may involve upgrading hardware or optimizing the system configuration.
- Use Efficient Algorithms: If possible, switch to more efficient algorithms or heuristics that can handle the specific planning problem more effectively.
- Data Management: Ensure that the data being processed is clean and well-structured. Remove any unnecessary data and ensure that the relevant data is indexed properly to improve access times.
- Run During Off-Peak Hours: If the system is under heavy load, consider scheduling the planning runs during off-peak hours to ensure that more resources are available.
Related Information:
/SAPAPO/OPTIMIZE
or /SAPAPO/HEURISTIC
to analyze and adjust the planning runs.If the issue persists after trying the above solutions, it may be beneficial to consult with SAP support or a technical consultant who specializes in SAP APO for further assistance.
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