How To Fix /SAPAPO/CDPSOPT803 - Genetic algorithm has been started


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/CDPSOPT -

  • Message number: 803

  • Message text: Genetic algorithm has been started

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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.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/CDPSOPT803 - Genetic algorithm has been started ?

    The SAP error message /SAPAPO/CDPSOPT803 indicates that a genetic algorithm has been initiated in the context of SAP Advanced Planning and Optimization (APO). This message is typically informational rather than an error, suggesting that the system is currently processing a genetic algorithm for optimization purposes.

    Cause:

    1. Optimization Process: The message is triggered when the system starts a genetic algorithm to solve a complex optimization problem, such as production planning or scheduling.
    2. Long Processing Time: If the genetic algorithm takes a long time to complete, it may lead to concerns or confusion among users, especially if they are not aware that the process is running.

    Solution:

    1. Monitor the Process: If you see this message, it is essential to monitor the process to ensure that it completes successfully. You can check the job status in the background job monitoring tool (Transaction SM37).
    2. Performance Tuning: If the genetic algorithm is taking too long, consider reviewing the input data and parameters used for the optimization. Sometimes, simplifying the problem or adjusting parameters can lead to faster processing times.
    3. Check Logs: Review the logs for any additional messages or warnings that may provide insight into the performance of the genetic algorithm.
    4. System Resources: Ensure that the system has adequate resources (CPU, memory) to handle the optimization tasks efficiently.

    Related Information:

    • Genetic Algorithms: These are search heuristics that mimic the process of natural selection to generate high-quality solutions for optimization and search problems.
    • SAP APO: This is a component of SAP SCM (Supply Chain Management) that provides advanced planning capabilities, including demand planning, supply network planning, and production planning.
    • Transaction Codes: Familiarize yourself with relevant transaction codes such as /SAPAPO/CDPSOPT for optimization settings and /SAPAPO/OM for monitoring and managing optimization jobs.

    If you continue to experience issues or if the genetic algorithm does not complete as expected, consider reaching out to your SAP support team or consulting the SAP community for further assistance.

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