How To Fix M2208 - Faulty delivery


M2208 - Overview

  • Message type: E = Error

  • Message class: M2 - LIS: Generating and updating info structures

  • Message number: 208

  • Message text: Faulty delivery

  • Show details Hide details
  • What causes this issue?

    The system has attempted to find data relevant to updating via item
    &V2& in the order &V1& which forms the basis of the delivery item. This
    data is stored in the tables MCVSRFK (header
    data) and MSVSRFP (item data) when the statistical data is set up from
    orders using report RMCVNEUA.
    This data was not found in the table MCVSRFP.

    System Response

    The document cannot be updated.

    How to fix this error?

    Check to see whether all the orders have already been processed in
    full.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message M2208 - Faulty delivery ?
    The SAP error message M2208, which indicates a "Faulty delivery," typically arises during the delivery processing in the SAP system. This error can occur for various reasons, and understanding the cause is essential for resolving the issue effectively. Below are some common causes, potential solutions, and related information regarding this error.
    Causes of M2208 Faulty Delivery
    
    
    Incomplete or Incorrect Delivery Data: The delivery document may have missing or incorrect information, such as item quantities, delivery dates, or shipping details.
    
    
    Stock Issues: There may be insufficient stock available for the items being delivered, leading to discrepancies in the delivery process.
    
    
    Document Status: The delivery document might be in a status that does not allow further processing, such as being blocked or already completed.
    
    
    
    Configuration Issues: There could be configuration problems in the system related to delivery processing, such as settings in the shipping or logistics execution modules. Master Data Issues: Problems with master data, such as customer

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