How to use /SAPAPO/OPT09_OLD - Optimization Version Display


SAP Transaction Code - Details

  • Transaction Code: /SAPAPO/OPT09_OLD

    Description: Optimization Version Display

    Release: S/4HANA only

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    • Program: /SAPAPO/SAPLOPT_ADMIN

      Screen: 410

      Authorization Object:

    • Development Package: /SAPAPO/OPT

      Package Description: Optimization

      Parent Package: /SAPAPO/APO_STRUCTURE

    • Module/Component: SCM-APO-OPT

      Description: Optimization


Smart SAP Assistant

  • SAP Tcode: /SAPAPO/OPT09_OLD - Optimization Version Display
    
    Overview:
    The SAP transaction code /SAPAPO/OPT09_OLD is used to display the optimization version in the SAP Advanced Planning and Optimization (SAP APO) system. This transaction code is used to view the version of the optimization model that is currently active in the system. 
    
    Functionality: 
    The /SAPAPO/OPT09_OLD transaction code allows users to view the version of the optimization model that is currently active in the system. This information can be used to determine which version of the optimization model is being used and if any changes have been made to it. Additionally, this transaction code can be used to view the parameters of the optimization model, such as the number of iterations, time limit, and other settings. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code /SAPAPO/OPT09_OLD into the command field. 
    2. Select the “Optimization Version” tab. 
    3. The current version of the optimization model will be displayed in this tab. 
    4. To view additional information about the optimization model, select the “Parameters” tab. 
    5. The parameters of the optimization model will be displayed in this tab, including the number of iterations, time limit, and other settings. 
    6. To exit this transaction code, select “Back” or “Cancel” from the menu bar at the top of the screen. 
    
    Other Recommendations: 
    It is recommended that users familiarize themselves with all of the parameters of an optimization model before making any changes to it. Additionally, users should always make sure that they are using the most up-to-date version of an optimization model before running it in production.
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