How to use CKMLLACREATE - Create ML-AT Master Data Manually

SAP Transaction Code - Details

• Transaction Code: CKMLLACREATE

  Description: Create ML-AT Master Data Manually

  Release: S/4HANA and ECC 6

• • Program: MANUALLY_CREATE_CKMLLA_ENTRIES

    Screen: 1000

    Authorization Object:

  • Development Package: CKMLLA

    Package Description: Update of Activity Consumption in Quantity Structure

    Parent Package: APPL

  • Module/Component: CO-PC-ACT

    Description: Actual Costing/Material Ledger

Smart SAP Assistant

• SAP Tcode: CKMLLACREATE - Create ML-AT Master Data Manually

  
  Overview:
  The SAP transaction code CKMLLACREATE is used to create master data manually for the Material Ledger Actual Costing (ML-AT) module. This transaction code is used to create and maintain the master data for the ML-AT module, which is used to track and analyze the actual costs of materials in a company. 
  
  Functionality: 
  The CKMLLACREATE transaction code allows users to create and maintain master data for the ML-AT module. This includes creating and maintaining cost elements, cost centers, cost objects, and other related data. The transaction code also allows users to assign cost elements to cost centers and cost objects, as well as assign cost objects to cost centers. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code CKMLLACREATE in the command field. 
  2. Select the type of master data you want to create or maintain (e.g., cost element, cost center, etc.). 
  3. Enter the required information for the selected type of master data. 
  4. Save your changes. 
  5. Repeat steps 2-4 for any additional master data you need to create or maintain. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with the ML-AT module before using this transaction code, as it will help them understand how the different types of master data are related and how they can be used in the module. Additionally, users should ensure that all required information is entered correctly when creating or maintaining master data, as incorrect information can lead to inaccurate results in the ML-AT module.