How To Fix /SCA/SDPR_INTERNAL107 - Promised Quantity Accuracy "accurate": &1 in [&2 , &3]


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SCA/SDPR_INTERNAL -

  • Message number: 107

  • Message text: Promised Quantity Accuracy "accurate": &1 in [&2 , &3]

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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 /SCA/SDPR_INTERNAL107 - Promised Quantity Accuracy "accurate": &1 in [&2 , &3] ?

    The SAP error message /SCA/SDPR_INTERNAL107 related to "Promised Quantity Accuracy" typically indicates an issue with the accuracy of the promised quantity in the context of supply chain planning or order fulfillment. This error can arise in various scenarios, such as during the planning process, when checking the availability of materials, or when processing sales orders.

    Cause:

    The error message usually points to a discrepancy in the promised quantity that does not meet the expected accuracy criteria. The parameters &1, &2, and &3 in the message represent specific values related to the promised quantity, such as:

    • &1: The actual promised quantity.
    • &2: The expected quantity.
    • &3: The threshold or acceptable range for accuracy.

    This discrepancy can be caused by several factors, including:

    1. Data Inconsistencies: Mismatches in master data, such as material master records, sales order data, or inventory levels.
    2. Configuration Issues: Incorrect settings in the system related to planning or order management.
    3. Supply Chain Disruptions: Changes in supply availability, production delays, or unexpected demand fluctuations.
    4. User Input Errors: Manual entry errors when entering quantities in sales orders or planning transactions.

    Solution:

    To resolve the error, you can take the following steps:

    1. Check the Promised Quantity: Review the values of the promised quantity and compare them with the expected quantity and the defined accuracy threshold. Ensure that the promised quantity is within the acceptable range.

    2. Review Master Data: Verify the relevant master data for the materials involved, including:

      • Material master records
      • Sales order data
      • Inventory levels
    3. Analyze Configuration Settings: Check the configuration settings in the SAP system related to:

      • Availability checks
      • Planning parameters
      • Order management settings
    4. Investigate Supply Chain Factors: Look into any recent changes in supply chain conditions that may have affected the availability of materials or the accuracy of promised quantities.

    5. Consult Documentation: Refer to SAP documentation or notes related to this specific error message for additional insights or updates.

    6. Engage with SAP Support: If the issue persists, consider reaching out to SAP support for further assistance, especially if it appears to be a system bug or requires deeper technical analysis.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes that may help in diagnosing the issue, such as:

      • MD04 (Stock/Requirements List)
      • VA03 (Display Sales Order)
      • MD02 (MRP Run)
    • SAP Notes: Search for SAP Notes related to /SCA/SDPR_INTERNAL107 for any known issues or patches that may address the problem.

    • User 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 identify the root cause of the error and implement a suitable solution.

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