MC76 - Désagrégation des groupes pour plan.

SAP Transaction Code - Details

• Transaction Code: MC76

  Description: Désagrégation des groupes pour plan.

  Release: S/4HANA and ECC 6

  Menu Path:

  • Logistics > Production > SOP > Disaggregation > Break Down PG Plan

• • Program:

    Screen: 0

    Authorization Object: C_APPL_SOP

  • Development Package: MCP2

    Package Description: R/3 application development: Sales & Operations Planning

    Parent Package: APPL

  • Module/Component: PP-SOP-SP

    Description: Sales Plan

Smart SAP Assistant

• SAP Tcode: MC76 - Désagrégation des groupes pour plan.

  
  Overview:
  SAP transaction code MC76 is used to disaggregate planning data in the SAP system. This transaction code allows users to break down planning data into smaller, more manageable chunks. This can be useful for analyzing and understanding the data in more detail. 
  
  Functionality: 
  MC76 allows users to disaggregate planning data into smaller chunks. This can be done by selecting a range of values, such as a specific period or a specific product. The disaggregation process can also be used to compare different versions of the same data set. 
  
  Step-by-step How to Use: 
  1. Enter transaction code MC76 in the SAP command field. 
  2. Select the range of values you want to disaggregate. 
  3. Select the type of disaggregation you want to perform (e.g., by period or by product). 
  4. Select the version of the data set you want to disaggregate (e.g., current or previous). 
  5. Click “Execute” to start the disaggregation process. 
  6. Review the results of the disaggregation process and make any necessary changes or adjustments. 
  7. Click “Save” to save your changes and exit the transaction code. 
  
  Other Recommendations: 
  It is important to note that MC76 is only used for disaggregating planning data and cannot be used for other types of data sets. Additionally, it is important to ensure that all necessary data is entered correctly before executing the transaction code, as incorrect data may lead to inaccurate results.