MCBA - Sélection pour analyse division


SAP Transaction Code - Details

  • Transaction Code: MCBA

    Description: Sélection pour analyse division

    Release: S/4HANA and ECC 6

    Menu Path:

    • Logistics > Materials Management > Inventory Management > Environment > Inventory Controlling > Standard Analyses > Plant
    • Logistics > Production > Kanban > Environment > Warehouse Management > Environment > Rough workload estimate > Logistics Information System > Standard Analyses > Stocks > Plant
    • Logistics > Logistics Controlling > Logistics Information System > Standard Analyses > Stocks > Plant
    • Logistics > Logistics Controlling > Inventory Controlling > Standard Analyses > Plant
  • Show technical details Hide technical details
    • Program: RMCB0100

      Screen: 1000

      Authorization Object: M_AUSW_MCC

    • Development Package: MCB

      Package Description: R/3 application development: Inventory Controlling

      Parent Package: APPL

    • Module/Component: MM-IS-IC

      Description: Inventory Controlling


Smart SAP Assistant

  • SAP Tcode: MCBA - Sélection pour analyse division
    
    Overview:
    The SAP transaction code MCBA - INVCO Plant Analysis Selection is used to analyze the inventory of a plant. It provides an overview of the inventory levels, stock values, and other related information. This transaction code is part of the Inventory Control (INVCO) module in SAP. 
    
    Functionality: 
    The MCBA - INVCO Plant Analysis Selection transaction code allows users to view and analyze the inventory of a plant. It provides an overview of the inventory levels, stock values, and other related information. The analysis can be done for a single plant or multiple plants. The data can be filtered by material, storage location, and other criteria. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code MCBA - INVCO Plant Analysis Selection in the command field. 
    2. Select the plants for which you want to analyze the inventory. 
    3. Select the materials and storage locations for which you want to view the data. 
    4. Select the fields that you want to view in the analysis report. 
    5. Execute the report to view the analysis results. 
    
    Other Recommendations: 
    It is recommended that users familiarize themselves with the different fields available in this report before running it. This will help them get more accurate results from their analysis. Additionally, users should ensure that they have access rights to view all of the data they need before running this report.
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