How To Fix /SAPAPO/CDPSOPT610 - Number of scheduled activities after optimization: &1


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/CDPSOPT -

  • Message number: 610

  • Message text: Number of scheduled activities after optimization: &1

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  • 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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/CDPSOPT610 - Number of scheduled activities after optimization: &1 ?

    The SAP error message /SAPAPO/CDPSOPT610 indicates that the number of scheduled activities after optimization exceeds a certain limit. This message is typically encountered in the context of SAP Advanced Planning and Optimization (APO), particularly when dealing with production planning and scheduling.

    Cause:

    The error message is triggered when the optimization process results in a number of scheduled activities that surpass the predefined threshold set in the system. This can happen due to various reasons, including:

    1. High Demand or Production Volume: If there is an unexpectedly high demand or production volume, the optimizer may create more scheduled activities than the system can handle.
    2. Configuration Limits: The system may have configuration settings that limit the number of activities that can be scheduled. If the optimization process tries to exceed this limit, the error will occur.
    3. Inefficient Scheduling Parameters: The parameters used for scheduling may not be optimal, leading to an excessive number of activities being generated.
    4. Data Issues: Inconsistent or incorrect master data (like resources, production versions, etc.) can lead to unexpected scheduling results.

    Solution:

    To resolve this error, you can consider the following steps:

    1. Review and Adjust Configuration Settings:

      • Check the configuration settings related to scheduling limits in the APO system. You may need to increase the limit if it is set too low for your current planning needs.
    2. Optimize Scheduling Parameters:

      • Review the parameters used in the optimization run. Adjusting these parameters can help reduce the number of scheduled activities generated.
    3. Analyze Demand and Supply:

      • Look into the demand and supply data to ensure that they are realistic and aligned. If there are spikes in demand, consider smoothing them out or adjusting production accordingly.
    4. Check Master Data:

      • Ensure that all relevant master data (like resources, production versions, etc.) is accurate and up to date. Incorrect data can lead to inefficient scheduling.
    5. Run Optimization in Batches:

      • If the volume of activities is too high, consider running the optimization in smaller batches to avoid hitting the limit.
    6. Consult SAP Notes:

      • Check for any relevant SAP Notes or updates that may address this specific error or provide additional guidance.
    7. Engage with SAP Support:

      • If the issue persists, consider reaching out to SAP support for further assistance. They may provide insights specific to your system configuration and usage.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes in SAP APO, such as /SAPAPO/CDPSOPT for optimization runs.
    • Documentation: Review SAP documentation related to APO optimization and scheduling for best practices and configuration guidelines.
    • Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, providing insights or solutions from other users' experiences.

    By following these steps, you should be able to address the error message and optimize your scheduling process effectively.

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