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How to use NWCH96 - Execute Pool Breakdown


SAP Transaction Code - Details

  • Transaction Code: NWCH96

    Description: Execute Pool Breakdown

    Release: ECC 6 only

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    • Program: RNWCHHONPOOL

      Screen: 1000

      Authorization Object: N_EINR_TCO

    • Development Package:

      Package Description:

      Parent Package:

    • Module/Component:

      Description:


Smart SAP Assistant

  • SAP Tcode: NWCH96 - Execute Pool Breakdown
    
    Overview:
    The SAP transaction code NWCH96 is used to execute a pool breakdown. This transaction code is used to break down a pool of materials into individual components. It is used to create a bill of materials (BOM) for the pool, which can then be used for production planning and inventory management. 
    
    Functionality: 
    The NWCH96 transaction code allows users to break down a pool of materials into individual components. This is done by creating a bill of materials (BOM) for the pool, which can then be used for production planning and inventory management. The BOM created by this transaction code can also be used to determine the cost of the individual components in the pool. 
    
    Step-by-step How to Use: 
    1. Enter the NWCH96 transaction code in the SAP command field. 
    2. Select the pool that you want to break down from the list of available pools. 
    3. Enter the quantity of the pool that you want to break down. 
    4. Select the components that you want to include in the BOM for the pool. 
    5. Enter the quantity of each component that you want to include in the BOM for the pool. 
    6. Confirm your selections and save your changes. 
    
    Other Recommendations: 
    It is recommended that users familiarize themselves with SAP’s material master data before using this transaction code, as it will help them understand how to create an accurate BOM for their pools. Additionally, users should ensure that they have sufficient storage space available for their BOMs before executing this transaction code, as it can generate large amounts of data.
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