How to use /SCWM/PI_COMPL_DEL - Vollständigkeitsdatensätze löschen


SAP Transaction Code - Details

  • Transaction Code: /SCWM/PI_COMPL_DEL

    Description: Vollständigkeitsdatensätze löschen

    Release: S/4HANA only

    Menu Path:

    • Logistics > SCM Extended Warehouse Management > Extended Warehouse Management > Physical Inventory > Periodic Processing > Delete Completeness Data Sets
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    • Program: /SCWM/PI_COMPL_DELETE

      Screen: 1000

      Authorization Object:

    • Development Package: /SCWM/PI_APPL

      Package Description: Physical Inventory - Function Package

      Parent Package: /SCWM/MAIN

    • Module/Component: SCM-EWM-PI

      Description: Physical Inventory


Smart SAP Assistant

  • SAP Tcode: /SCWM/PI_COMPL_DEL - Vollständigkeitsdatensätze löschen
    
    Overview:
    The SAP transaction code /SCWM/PI_COMPL_DEL is used to delete completeness data sets in the SAP system. This transaction code is part of the Warehouse Management (WM) module and is used to manage the warehouse operations. 
    
    Functionality: 
    This transaction code allows users to delete completeness data sets in the SAP system. Completeness data sets are used to store information about the completeness of a warehouse task. This includes information such as the number of items that have been picked, packed, and shipped. By deleting these data sets, users can ensure that their warehouse operations are running smoothly and efficiently. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code /SCWM/PI_COMPL_DEL into the command field. 
    2. Select the data set that you want to delete from the list of available data sets. 
    3. Confirm your selection by clicking on the “Delete” button. 
    4. The selected data set will be deleted from the system. 
    
    Other Recommendations: 
    It is important to note that this transaction code should only be used by experienced users who understand how to properly manage warehouse operations. Additionally, it is recommended that users back up their data before deleting any completeness data sets in order to avoid any potential data loss or corruption.
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