PHCPPRUN - Execute Planning Run


SAP Transaction Code - Details

  • Transaction Code: PHCPPRUN

    Description: Execute Planning Run

    Release: S/4HANA and ECC 6

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    • Program: RHHCP_PLAN_CREATE

      Screen: 1000

      Authorization Object: P_TCODE

    • Development Package: PAOC_HCP_PLAN

      Package Description:

      Parent Package:

    • Module/Component:

      Description:


Smart SAP Assistant

  • SAP Tcode: PHCPPRUN - Execute Planning Run
    
    Overview: 
    The SAP transaction code PHCPPRUN is used to execute a planning run in the SAP system. It is used to create a plan for a specific material or product group. The planning run can be used to determine the optimal production plan for a given period of time. 
    
    Functionality: 
    The PHCPPRUN transaction code allows users to execute a planning run in the SAP system. This planning run can be used to create a plan for a specific material or product group. The planning run will take into account the current stock levels, customer orders, and other factors to determine the optimal production plan for a given period of time. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code PHCPPRUN in the command field. 
    2. Select the material or product group that you want to create a plan for. 
    3. Enter the start and end dates for the planning run. 
    4. Select the type of planning run that you want to execute (e.g., MRP, DRP, etc.). 
    5. Execute the planning run by clicking on “Execute” button. 
    6. Review the results of the planning run and make any necessary adjustments. 
    7. Save the results of the planning run by clicking on “Save” button. 
    
    Other Recommendations: 
    It is recommended that users review and adjust their plans regularly to ensure that they are up-to-date with current stock levels, customer orders, and other factors that may affect their production plans. Additionally, users should also review their plans after executing a planning run in order to ensure that they are producing the optimal amount of products for their given period of time.
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