How to use /SAPAPO/SEQC8 - Combinación mod.QS parám.customizing


SAP Transaction Code - Details

  • Transaction Code: /SAPAPO/SEQC8

    Description: Combinación mod.QS parám.customizing

    Release: S/4HANA only

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    • Program:

      Screen: 0

      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


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  • SAP Tcode: /SAPAPO/SEQC8 - Combinación mod.QS parám.customizing
    
    Overview:
    The SAP transaction code /SAPAPO/SEQC8 is used to customize the model mix parameters in the Supply Chain Management (SCM) system. This transaction code is used to define the parameters that are used to determine the optimal product mix for a given supply chain. 
    
    Functionality: 
    The /SAPAPO/SEQC8 transaction code allows users to customize the model mix parameters in the SCM system. This includes setting up the parameters for the model mix optimization, such as the target stock level, target service level, and target cost. Additionally, users can also define the constraints for the model mix optimization, such as maximum and minimum stock levels, maximum and minimum service levels, and maximum and minimum costs. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code /SAPAPO/SEQC8 in the command field. 
    2. Select the “Model Mix Parameters” tab. 
    3. Select the “Target Stock Level” field and enter the desired value. 
    4. Select the “Target Service Level” field and enter the desired value. 
    5. Select the “Target Cost” field and enter the desired value. 
    6. Select the “Constraints” tab and enter any desired constraints for the model mix optimization. 
    7. Select “Save” to save your changes. 
    
    Other Recommendations: 
    It is recommended that users familiarize themselves with all of the available parameters and constraints before customizing them in order to ensure that they are set up correctly for their specific supply chain needs. Additionally, users should regularly review their model mix parameters to ensure that they are still appropriate for their current supply chain needs.
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