How to use /SCMTMS/PPRF - Define Parallelization profile

SAP Transaction Code - Details

• Transaction Code: /SCMTMS/PPRF

  Description: Define Parallelization profile

  Release: S/4HANA only

  Menu Path:

  • Logistics > Transportation Management > Current Settings > Define Parallel Processing Profile

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: /SCMTMS/BO_COMMON

    Package Description: Common Objects

    Parent Package: /SCMTMS/BUSINESS_OBJECTS

  • Module/Component: TM-CF

    Description: Cross functions

Smart SAP Assistant

• SAP Tcode: /SCMTMS/PPRF - Define Parallelization profile

  
  Overview: 
  The SAP transaction code /SCMTMS/PPRF is used to define a parallelization profile in the SAP system. This profile is used to control the parallelization of certain processes in the system, such as the parallelization of background jobs. 
  
  Functionality: 
  The /SCMTMS/PPRF transaction code allows users to define a parallelization profile in the SAP system. This profile can be used to control the parallelization of certain processes, such as background jobs. The profile can also be used to set parameters for the parallelization of certain processes, such as the number of threads that can be used for a particular process. 
  
  Step-by-step How to Use: 
  1. Access the /SCMTMS/PPRF transaction code in the SAP system. 
  2. Enter a name for the parallelization profile and select “Create”. 
  3. Enter the parameters for the profile, such as the number of threads that can be used for a particular process. 
  4. Select “Save” to save the profile. 
  5. Select “Activate” to activate the profile and make it available for use in the system. 
  
  Other Recommendations: 
  It is recommended that users test their parallelization profiles before activating them in order to ensure that they are working correctly and that they are not causing any performance issues in the system. Additionally, users should regularly review their profiles and update them as needed in order to ensure that they are still optimized for their current environment and workloads.