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How To Fix /SCWM/RF_EN860 - Pos. validation field &1 vs &2 value &3


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SCWM/RF_EN -

  • Message number: 860

  • Message text: Pos. validation field &1 vs &2 value &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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    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SCWM/RF_EN860 - Pos. validation field &1 vs &2 value &3 ?

    The SAP error message /SCWM/RF_EN860 Pos. validation field &1 vs &2 value &3 typically occurs in the context of the SAP Extended Warehouse Management (EWM) system, particularly when using the RF (Radio Frequency) interface for warehouse operations. This error indicates a validation issue with a specific field in the system, where the expected value does not match the actual value provided.

    Cause:

    The error message is triggered when there is a mismatch between the expected value of a validation field and the value that is being processed. This can happen due to several reasons, including:

    1. Data Entry Errors: The user may have entered incorrect data while scanning or inputting information through the RF device.
    2. Configuration Issues: There may be a misconfiguration in the warehouse settings or in the validation rules for the specific process being executed.
    3. Master Data Issues: The master data (such as material master, batch master, etc.) may not be correctly set up, leading to discrepancies in expected values.
    4. Process Flow Issues: The process flow may not be correctly defined, leading to situations where the system expects a certain value that is not being provided.

    Solution:

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

    1. Check Input Values: Verify the values being entered or scanned against the expected values in the system. Ensure that the data is accurate and conforms to the expected format.
    2. Review Configuration: Check the configuration settings in the EWM system related to the specific process. Ensure that the validation rules are correctly set up and that they align with the business requirements.
    3. Examine Master Data: Review the relevant master data to ensure that it is complete and accurate. This includes checking material master records, batch information, and any other relevant data.
    4. Consult Documentation: Refer to SAP documentation or help resources for specific details about the validation field in question. This may provide insights into what the expected values are and how to correct any discrepancies.
    5. Debugging: If you have access to technical resources, consider debugging the process to identify where the mismatch is occurring. This may involve looking at the code or configuration that handles the validation.
    6. Contact Support: If the issue persists and cannot be resolved through the above steps, consider reaching out to SAP support or your internal IT team for further assistance.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes in EWM that may help in troubleshooting, such as /SCWM/PRDI for inbound processing or /SCWM/PRDO for outbound processing.
    • SAP Notes: Check for any SAP Notes related to the error message or the specific functionality you are working with. SAP Notes often contain fixes or workarounds for known issues.
    • User Training: Ensure that users are adequately trained on the RF processes and understand the importance of accurate data entry to minimize errors.

    By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.

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