How to use /SAPAPO/REORG_WUL - Reorg. of Where-Used-Lists in LC


SAP Transaction Code - Details

  • Transaction Code: /SAPAPO/REORG_WUL

    Description: Reorg. of Where-Used-Lists in LC

    Release: S/4HANA only

  • Show technical details Hide technical details
    • Program: /SAPAPO/RSP_WUL_REORG_LC

      Screen: 1000

      Authorization Object:

    • Development Package: /SAPAPO/RSP_DM

      Package Description: Data Manager: Central Object Management LiveCache

      Parent Package: /SAPAPO/APO_STRUCTURE

    • Module/Component: SCM-APO-PPS-RSP

      Description: Reservation Planning


Smart SAP Assistant

  • SAP Tcode: /SAPAPO/REORG_WUL - Reorg. of Where-Used-Lists in LC
    
    Overview:
    /SAPAPO/REORG_WUL is a SAP transaction code used to reorganize the Where-Used-Lists (WUL) in the Logistics Cockpit (LC). This transaction code is used to improve the performance of the LC by reorganizing the WULs. 
    
    Functionality: 
    The /SAPAPO/REORG_WUL transaction code is used to reorganize the WULs in the LC. This helps to improve the performance of the LC by reducing the amount of time it takes to access and process data. The WULs are organized into a hierarchical structure, which makes it easier to find and access data. 
    
    Step-by-step How to Use: 
    1. Access the /SAPAPO/REORG_WUL transaction code in SAP. 
    2. Select the “Reorganize” button. 
    3. Select the “Where-Used-Lists” option from the dropdown menu. 
    4. Select the “Reorganize” button again. 
    5. Enter a valid date range for when you want to reorganize the WULs. 
    6. Select “Execute” to start the reorganization process. 
    7. Once complete, select “Back” to return to the main screen. 
    
    Other Recommendations: 
    It is recommended that you run this transaction code on a regular basis in order to keep your LC running smoothly and efficiently. Additionally, it is important to ensure that all data entered into SAP is accurate and up-to-date before running this transaction code, as any errors or inconsistencies could lead to incorrect results or data loss.
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