How To Fix /SAPAPO/PP_OPTIMIZER205 - Runtime increased by &1 seconds


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/PP_OPTIMIZER -

  • Message number: 205

  • Message text: Runtime increased by &1 seconds

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  • What is the cause and solution for SAP error message /SAPAPO/PP_OPTIMIZER205 - Runtime increased by &1 seconds ?

    The SAP error message /SAPAPO/PP_OPTIMIZER205 indicates that the runtime of the optimizer has increased by a specified number of seconds. This message is typically related to the SAP Advanced Planning and Optimization (APO) module, specifically in the context of the Production Planning (PP) Optimizer.

    Cause:

    1. Complexity of the Planning Problem: The increase in runtime can be attributed to the complexity of the planning problem being solved. This could be due to a large number of products, production resources, or constraints that the optimizer needs to consider.
    2. Data Volume: A significant increase in the volume of data (e.g., more orders, larger planning horizons) can lead to longer processing times.
    3. Inefficient Configuration: Suboptimal settings in the optimizer configuration can lead to longer runtimes. This includes settings related to heuristics, algorithms, or parameters that control the optimization process.
    4. System Performance: The performance of the underlying hardware or the SAP system itself can impact runtime. If the system is under heavy load or if there are resource constraints (CPU, memory), it can slow down processing.
    5. Changes in Master Data: Changes in master data (like BOMs, routings, or production versions) can also affect the runtime if they lead to more complex calculations.

    Solution:

    1. Analyze the Planning Problem: Review the specific planning scenario to identify any complexities or inefficiencies. Simplifying the problem or breaking it down into smaller parts may help.
    2. Optimize Configuration: Check the optimizer settings and parameters. Adjusting these settings to better fit the specific planning scenario can lead to improved performance.
    3. Data Management: Ensure that the data being processed is relevant and necessary. Archiving old data or reducing the planning horizon can help decrease runtime.
    4. System Performance Tuning: Monitor system performance and consider hardware upgrades or optimizations if the system is consistently underperforming.
    5. Review Changes in Master Data: If there have been recent changes to master data, review them to ensure they are necessary and optimized for the planning process.
    6. Use of Heuristics: If applicable, consider using heuristics that are less computationally intensive for certain planning scenarios.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address performance issues with the PP Optimizer or provide patches and updates.
    • Performance Monitoring Tools: Utilize SAP's performance monitoring tools (like ST03N, ST05) to analyze the runtime and identify bottlenecks.
    • Documentation: Refer to the SAP APO documentation for best practices in configuring and using the PP Optimizer.
    • Community Forums: Engage with SAP community forums or user groups to share experiences and solutions related to similar issues.

    By addressing the underlying causes and implementing the suggested solutions, you can potentially reduce the runtime of the optimizer and improve overall performance in SAP APO.

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