How to use /SAPAPO/PPO_LOG - Optimizer log

SAP Transaction Code - Details

• Transaction Code: /SAPAPO/PPO_LOG

  Description: Optimizer log

  Release: S/4HANA only

  Menu Path:

  • Logistics > Advanced Planning > Production Planning > Reporting > Logs > Production Planning Optimizer Log

• • Program: /SAPAPO/SAPLPPO_OPTLOG

    Screen: 100

    Authorization Object: S_APPL_LOG

  • Development Package: /SAPAPO/PPO

    Package Description: Production Planning Optimization

    Parent Package: /SAPAPO/APO_STRUCTURE

  • Module/Component: SCM-APO-PPS-PPO

    Description: Production Planning Optimizer Application

Smart SAP Assistant

• SAP Tcode: /SAPAPO/PPO_LOG - Optimizer log

  
  Overview:
  The SAP transaction code /SAPAPO/PPO_LOG is used to access the Optimizer Log in the SAP Advanced Planning and Optimization (APO) system. This log provides a detailed overview of the optimization process, including the parameters used, the results of the optimization, and any errors that occurred during the process. 
  
  Functionality: 
  The Optimizer Log is used to analyze the optimization process and identify any potential issues that may have occurred. It can be used to troubleshoot problems with the optimization process, as well as to identify areas where improvements can be made. The log also provides a detailed overview of the parameters used in the optimization process, which can be used to adjust the optimization parameters for future runs. 
  
  Step-by-step How to Use: 
  To access the Optimizer Log, enter the transaction code /SAPAPO/PPO_LOG in the SAP command field. This will open up a window with a list of all of the optimization runs that have been performed. Selecting one of these runs will open up a detailed log of that particular run, including information about the parameters used, any errors that occurred, and the results of the optimization. 
  
  Other Recommendations: 
  It is recommended that users review the Optimizer Log after each optimization run to ensure that there were no errors or unexpected results. This will help to ensure that future runs are successful and that any potential issues are identified and addressed quickly. Additionally, users should review the parameters used in each run to ensure that they are optimized for their specific needs.