How to use /SAPAPO/SEQ2 - Model Mix Planning Run

SAP Transaction Code - Details

• Transaction Code: /SAPAPO/SEQ2

  Description: Model Mix Planning Run

  Release: S/4HANA only

  Menu Path:

  • Logistics > Advanced Planning > Production Planning > Automated Production Planning and Optimization > Model Mix Planning > Model Mix Planning Run

• • Program: /SAPAPO/SEQ_PLANNING_RUN

    Screen: 1000

    Authorization Object:

  • Development Package: /SAPAPO/SEQ

    Package Description: Model Mix Planning & Sequencing

    Parent Package: /SAPAPO/APO_STRUCTURE

  • Module/Component: SCM-APO-PPS-MMP

    Description: Model Mix Planning

Smart SAP Assistant

• SAP Tcode: /SAPAPO/SEQ2 - Model Mix Planning Run

  
  Overview:
  The SAP transaction code /SAPAPO/SEQ2 is used to run Model Mix Planning (MMP) in the SAP Advanced Planning and Optimization (APO) system. MMP is a planning tool used to optimize the mix of products and services that a company produces in order to maximize profits. 
  
  Functionality: 
  MMP helps companies to determine the optimal mix of products and services that they should produce in order to maximize profits. It takes into account factors such as customer demand, production costs, and inventory levels. The /SAPAPO/SEQ2 transaction code is used to run MMP in the APO system. 
  
  Step-by-step How to Use: 
  1. Log into the SAP system and enter the transaction code /SAPAPO/SEQ2. 
  2. Select the planning area that you want to use for your MMP run. 
  3. Select the planning version that you want to use for your MMP run. 
  4. Enter the start date and end date for your MMP run. 
  5. Enter any additional parameters that you want to use for your MMP run, such as product selection criteria or constraints on production capacity. 
  6. Click “Execute” to start the MMP run. 
  7. Once the MMP run is complete, you can view the results in the APO system. 
  
  Other Recommendations: 
  It is recommended that you review the results of your MMP run carefully before making any decisions based on them. Additionally, it is important to ensure that all of your data is up-to-date before running an MMP run, as outdated data can lead to inaccurate results.