/SCWM/DLV_ASYN - Activate Asynchron. Delivery Update


SAP Transaction Code - Details

  • Transaction Code: /SCWM/DLV_ASYN

    Description: Activate Asynchron. Delivery Update

    Release: S/4HANA only

    Menu Path:

    • Logistics > SCM Extended Warehouse Management > Extended Warehouse Management > Settings > Performance Settings > Activate Asynchronous Delivery Update
  • Show technical details Hide technical details
    • Program:

      Screen: 0

      Authorization Object:

    • Development Package: /SCWM/CORE

      Package Description: Core Functions of WME

      Parent Package: /SCWM/MAIN

    • Module/Component: SCM-EWM-WOP

      Description: Warehouse Order Processing


Smart SAP Assistant

  • SAP Tcode: /SCWM/DLV_ASYN - Activate Asynchron. Delivery Update
    
    Overview:
    The SAP transaction code /SCWM/DLV_ASYN is used to activate the asynchronous delivery update in the SAP system. This transaction code is used to enable the automatic update of delivery documents in the system. 
    
    Functionality: 
    The /SCWM/DLV_ASYN transaction code allows users to activate the asynchronous delivery update in the SAP system. This feature enables the automatic update of delivery documents in the system, which helps to ensure that all relevant information is up-to-date and accurate. 
    
    Step-by-step How to Use: 
    To use the /SCWM/DLV_ASYN transaction code, follow these steps 
    1. Log into your SAP system. 
    2. Enter the transaction code /SCWM/DLV_ASYN into the command field. 
    3. Select “Activate Asynchronous Delivery Update” from the menu. 
    4. Confirm your selection by clicking “OK”. 
    5. The asynchronous delivery update will now be activated in your SAP system. 
    
    Other Recommendations: 
    It is recommended that users regularly check for updates to ensure that their system is running optimally and that all relevant information is up-to-date and accurate. Additionally, users should be aware of any potential risks associated with activating this feature, such as data loss or corruption, and take appropriate measures to mitigate these risks.
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